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Izizindalwazi zeVektha

I-SaaS Browser ilandelela izinkampani zesofthiwe ze-83 Izizindalwazi zeVektha, kanti i-5 ingeziwe ezinsukwini ezingu-30 ezedlule. Amazwe aphezulu e-Izizindalwazi zeVektha SaaS afaka phakathi i-United States (24), United Kingdom (2), Germany (2).

Amaphuzu Edatha Abalulekile e-Izizindalwazi zeVektha

83
Isofthiwe Ephelele1
5
Okusha (Izinsuku ezingu-30 ezedlule)2
5
Izinhlelo Zokuxhumana3
5
Iminyaka Emaphakathi (Iminyaka)4
+23
Okusha (Izinsuku ezingu-365 ezedlule)5
9
I-Churned (Unyaka Odlule)6
28.1%
Izinga Lonyaka Lokukhushulwa7
36.1%
Isivivinyo Samahhala8

Ukusatshalaliswa Kosayizi Wenkampani9

2
Okukhulu (201-1,000)
7.7% kwesamba
7
Usayizi Ophakathi (51-200)
26.9% kwesamba
17
Okuncane (2-50)
65.4% kwesamba

Izinkampani Ezise-Izizindalwazi zeVektha Ezisungulwe Kakhulu

Inkampani Abasebenzi Izinga Lesizinda Yasungulwa Kungeziwe
Pinecone 200 — 2019 2025-02-11
SkyVector 10 — 2005 2025-02-28
Weaviate 200 — 2019 2025-02-04
Vectary 50 — 2014 2025-02-26
VectorVest 200 — — 2025-02-10
Zilliz 200 — 2017 2025-02-12
Turso 50 — 2021 2025-02-10
Dragonfly 50 — 2022 2025-02-28
RedVector 1,000 — 1999 2025-02-28
DrawSQL — — — 2025-02-07
Buka zonke izinkampani ze-Izizindalwazi zeVektha ezisunguliwe

Amazwe ayi-10 aphezulu e-Izizindalwazi zeVektha SaaS

Amazwe alandelayo amelela lapho izinkampani eziningi ze-Izizindalwazi zeVektha SaaS zinezinhloko zazo, ngokusekelwe kudatha yethu yemikhiqizo yesofthiwe ye-83.

Izwe Bala % wesamba
United States 24 28.9%
United Kingdom 2 2.4%
Germany 2 2.4%
Israel 1 1.2%
Brazil 1 1.2%
Netherlands 1 1.2%
New Zealand 1 1.2%
Serbia 1 1.2%
Ukraine 1 1.2%
India 1 1.2%

Idatha yamanani e-Izizindalwazi zeVektha

Intengo Ephakathi Yokuqala (i-USD)12
$10/ngenyanga
Intengo Ephakeme Emaphakathi (i-USD)13
$89/ngenyanga

Ukugcwala Kwemakethe kwe-Izizindalwazi zeVektha

Leli phuzu libalwa kusukela ekuhlanganisweni kwemikhiqizo iyonke, igunya lesizinda, izizinda ezibhekisela kuzo, ubudala benkampani, ukukhula kwethrafikhi, amanani, kanye nokuba khona kwebhizinisi.

Isikolo Sokugcwalisa14
51 / 100 (Okuphakathi nendawo)

Izinhlelo Zokubambisana ku-Izizindalwazi zeVektha

5 Izizindalwazi zeVektha Izinkampani ze-SaaS zinikeza izinhlelo ezihambisanayo (6.0% yenani eliphelele).

Ikhomishini Ejwayelekile15
20%
Ukusatshalaliswa Kohlobo Lwekhomishini
Isikhathi esisodwa 3
Okuphindaphindayo 1
Buka zonke izinhlelo ze-Izizindalwazi zeVektha ezihambisanayo

Okusanda Kwengezwa i-Izizindalwazi zeVektha SaaS

Vectornosis Kungezwe i-2026-08-09
VectorLens Kungezwe i-2026-08-05
EmbedCore Kungezwe i-2026-08-05
Mnemo Kungezwe i-2026-08-05
SightDex Kungezwe i-2026-08-03
VibeSQL Kungezwe i-2026-07-27
CognoDB Kungezwe i-2026-06-10
Quarvik Kungezwe i-2026-05-23
JustVibe Kungezwe i-2026-04-23
contextdb Kungezwe i-2026-04-05
Buka konke okusanda kufakwa ku-Izizindalwazi zeVektha SaaS

Isilinganiso Seminyaka Yezinkampani ze-SaaS ze-Izizindalwazi zeVektha

Inkampani ejwayelekile ye-Izizindalwazi zeVektha SaaS yasungulwa eminyakeni engu-5.0 eyedlule (isilinganiso sonyaka wokusungulwa: 2021).

Buka izinkampani ezindala kakhulu ze-Izizindalwazi zeVektha SaaS

Ukuhlukaniswa kwe-B2B / B2C kwe-Izizindalwazi zeVektha16

16
Kokubili i-B2B ne-B2C
19.3%
67
Ibhizinisi (B2B)
80.7%

Kususelwa ezinkampanini ze-83 ezinedatha yohlobo lwabathengi (100.0% yenani eliphelele).

Buka konke i-B2B Izizindalwazi zeVektha SaaS Buka konke i-B2C Izizindalwazi zeVektha SaaS

Ithrendi Yokutholwa Kwe-SaaS ye-Izizindalwazi zeVektha

Inani lokusakazwa lwe-SaaS lenyanga zonke ye-Izizindalwazi zeVektha uma kuqhathaniswa nengxenye yayo ye-SaaS yonke etholakele. Iphesenti elikhulayo likhombisa ukuthi lesi sigaba sikhula ngokushesha kunemakethe jikelele.

Thola i-Izizindalwazi zeVektha SaaS

83 imiphumela etholiwe (0.02 imizuzwana) · Landa Imiphumela Landa yonke idatha esinayo yale miphumela yosesho, kufaka phakathi ama-imeyili atholakale ngokucrawla iwebhu. · Dala Isaziso Samahhala Londoloza lolu sesho futhi uziswe lapho i-SaaS entsha ehambelana nezimiso zakho itholakala. Izinkulungwane ze-SaaS ezintsha zengezwa njalo ngenyanga.
Buka imiphumela njengohlu olunezincazelo kanye nemininingwane eyinhloko Buka imiphumela etafuleni enazo zonke izilinganiso kumakholomu ukuze uqhathanise kalula
Hlunga:
Bonisa Izihlungi
1 isihlungi sisetshenzisiwe · Sula konke · Londoloza
Isigaba: Izizindalwazi zeVektha
Ukukhetha Okuphezulu
DrawSQL Logo

DrawSQL

Kunyusiwe Lolu uhlu olukhushuliwe, futhi singase sithole ikhomishini uma ubhalisa. Isivivinyo Samahhala
DrawSQL is a powerful database design tool that enables users to create, visualize, and collaborate on entity relationship diagrams effortlessly. With a focus on modern development workflows, it streamlines team collaboration and provides visually stunning diagrams that enhance understanding and documentation of database schemas.
Vakashela Iwebhusayithi Iphrofayela ->
Intengo: $0-$179/mo
Ibanga lanyanga zonke lentengo yalo mkhiqizo we-SaaS. Izintengo zenziwa ngokwejwayelekile zibe amanani enyanga lapho kungenzeka khona.
Isilinganiso: 2018 Idethi yokuqala yokudala esinayo yalolu hlu. Sisebenzisa imithombo yedatha eyahlukene etholakala esidlangalaleni.
Uhlobo Lomthengi: B2B
Ukuthi lokhu kugxile ebhizinisini noma ekusetshenzisweni komuntu ngamunye noma cha.
Vector Databases
Isigaba salolu hlu.
VectorChord Logo

VectorChord

Isivivinyo Samahhala
VectorChord (vchord) is a PostgreSQL extension that enables fast and efficient vector similarity searches, making it ideal for building AI applications. It offers advanced features like better filtering, hybrid search, and complete SQL support, ensuring high performance and scalability for large datasets.
Intengo: $0-$500/mo
Ibanga lanyanga zonke lentengo yalo mkhiqizo we-SaaS. Izintengo zenziwa ngokwejwayelekile zibe amanani enyanga lapho kungenzeka khona.
Vector Databases
Isigaba salolu hlu.
Bhalisa ukuze ubuke zonke izibalo
Dragonfly Logo

Dragonfly

Isivivinyo Samahhala
Dragonfly is an advanced, high-performance in-memory data store designed to handle massive workloads with ultra-low latency and high throughput, making it ideal for real-time applications such as media streaming, financial data analysis, advertising bidding, and machine learning feature storage. It offers key features including multi-threaded architecture for efficient resource utilization, seamless compatibility with popular APIs like Redis, Valkey, and Memcached, native support for search and probabilistic data structures, robust security and management capabilities, and scalability that reduces infrastructure costs while supporting millions of queries per second, serving developers, data engineers, and enterprise solutions seeking reliable, fast, and scalable data caching and real-time processing.
Intengo: Kusuka ku-$6800/ngenyanga
Ibanga lanyanga zonke lentengo yalo mkhiqizo we-SaaS. Izintengo zenziwa ngokwejwayelekile zibe amanani enyanga lapho kungenzeka khona.
Vector Databases
Isigaba salolu hlu.
Bhalisa ukuze ubuke zonke izibalo
Turso Logo

Turso

Le SaaS iyathrenda! Sithole ukukhula kwethrafikhi kwanyanga zonke. Isivivinyo Samahhala
This lightweight database solution is designed to seamlessly scale across millions of instances, enabling the development of AI agents, intelligent applications, and on-device functionalities. Key features include native vector search capabilities, asynchronous design for responsiveness, support for concurrent writes, and full compatibility with existing SQLite systems, addressing the challenges of data management in the evolving landscape of AI and multi-tenant applications, making it ideal for developers and organizations focused on building next-generation software.
Intengo: $0-$416.58/mo
Ibanga lanyanga zonke lentengo yalo mkhiqizo we-SaaS. Izintengo zenziwa ngokwejwayelekile zibe amanani enyanga lapho kungenzeka khona.
Vector Databases
Isigaba salolu hlu.
Bhalisa ukuze ubuke zonke izibalo
Vectura Games - No Icon

Vectura Games

Vectura Games develops high-quality apps and games designed for users' needs. The website features a variety of applications, including GPX Viewer, Trackbook, and relaxing games, all aimed at enhancing outdoor adventures and digital security.
Vector Databases
Isigaba salolu hlu.
Bhalisa ukuze ubuke zonke izibalo
VINData Logo

VINData

VINData offers reliable vehicle history reports for all types of vehicles, including cars, trucks, motorcycles, and RVs. With secure access to trusted data sources, users can quickly find important information about a vehicle's title, history, and value to make informed buying or selling decisions.
Intengo: $3.49-$9.99/mo
Ibanga lanyanga zonke lentengo yalo mkhiqizo we-SaaS. Izintengo zenziwa ngokwejwayelekile zibe amanani enyanga lapho kungenzeka khona.
Vector Databases
Isigaba salolu hlu.
Bhalisa ukuze ubuke zonke izibalo
DealVector Logo

DealVector

DealVector is a secure communication network that connects holders of financial assets, allowing them to share information without revealing their identities. The platform simplifies the search for bid requests and public notices, helping users stay informed about their investments and improve visibility into their deals.
Vector Databases
Isigaba salolu hlu.
Bhalisa ukuze ubuke zonke izibalo
ZibraVDB Logo

ZibraVDB

Isivivinyo Samahhala
ZibraVDB offers real-time volumetric effects for virtual production, enhancing the creation of smoke, fog, and fire in films and games. With seamless integration and optimized asset management, it allows for faster iterations and high-quality visuals across various platforms.
Intengo: $0-$100/mo
Ibanga lanyanga zonke lentengo yalo mkhiqizo we-SaaS. Izintengo zenziwa ngokwejwayelekile zibe amanani enyanga lapho kungenzeka khona.
Vector Databases
Isigaba salolu hlu.
Bhalisa ukuze ubuke zonke izibalo
National Forward Works Viewer Logo

National Forward Works Viewer

The National Forward Works Viewer (NFWV) is a platform that helps users share and view planned infrastructure projects across New Zealand. It provides a central map for organizations to coordinate work, reduce costs, and improve community planning.
Intengo: NZ$0/mo
Ibanga lanyanga zonke lentengo yalo mkhiqizo we-SaaS. Izintengo zenziwa ngokwejwayelekile zibe amanani enyanga lapho kungenzeka khona.
Vector Databases
Isigaba salolu hlu.
Bhalisa ukuze ubuke zonke izibalo
Pagac, Champlin and Rowe Pro Logo

Pagac, Champlin and Rowe Pro

Isivivinyo Samahhala
Dragonfly is an advanced, high-performance in-memory data store designed to handle massive workloads with ultra-low latency and high throughput, making it ideal for real-time applications such as media streaming, financial data analysis, advertising bidding, and machine learning feature storage. It offers key features including multi-threaded architecture for efficient resource utilization, seamless compatibility with popular APIs like Redis, Valkey, and Memcached, native support for search and probabilistic data structures, robust security and management capabilities, and scalability that reduces infrastructure costs while supporting millions of queries per second, serving developers, data engineers, and enterprise solutions seeking reliable, fast, and scalable data caching and real-time processing.
Intengo: Kusuka ku-$6800/ngenyanga
Ibanga lanyanga zonke lentengo yalo mkhiqizo we-SaaS. Izintengo zenziwa ngokwejwayelekile zibe amanani enyanga lapho kungenzeka khona.
Vector Databases
Isigaba salolu hlu.
Bhalisa ukuze ubuke zonke izibalo
Sneller Logo

Sneller

This technology provides a high-performance, serverless solution for vector searches, enabling users to efficiently query unstructured data using standard SQL without the need for complex infrastructure management. Key features include seamless integration with S3 for direct data ingestion, robust SQL support with extensions, and the ability to scale to petabyte-sized datasets, making it ideal for developers and data scientists seeking to perform advanced analytics and semantic searches on large volumes of data.
Intengo: $50/mo
Ibanga lanyanga zonke lentengo yalo mkhiqizo we-SaaS. Izintengo zenziwa ngokwejwayelekile zibe amanani enyanga lapho kungenzeka khona.
Vector Databases
Isigaba salolu hlu.
Bhalisa ukuze ubuke zonke izibalo
* Ezinye noma zonke izingxenye zaleli khasi zingase zenziwe i-AI, ngakho-ke sicela uqinisekise noma yiluphi ulwazi olubalulekile ngokuzimela.

imibuzo ejwayelekile ukubuzwa

Zingaki izinkampani ze-Izizindalwazi zeVektha SaaS ezikhona?

Isiphequluli se-SaaS silandelela imikhiqizo yesofthiwe ye-83 Izizindalwazi zeVektha kusukela ku-September 2026. Izinkampani ezintsha ze-5 Izizindalwazi zeVektha ze-SaaS zengezwe ezinsukwini ezingu-30 ezedlule.

Zingaki izinkampani ezintsha ze-Izizindalwazi zeVektha SaaS ezingezwayo njalo ngenyanga?

Izinkampani ezintsha ze-5 Izizindalwazi zeVektha SaaS zengezwe ku-SaaS Browser ezinsukwini ezingu-30 ezedlule. Ingqalasizinda yethu yokukhasa eyimfihlo iyaqhubeka nokuthola imikhiqizo emisha yesofthiwe.

Yiziphi izinkampani ze-Izizindalwazi zeVektha SaaS ezisungulwe kakhulu?

Izinkampani ze-Izizindalwazi zeVektha SaaS ezidumile kakhulu ngokwegunya lesizinda zifaka phakathi i-Pinecone, SkyVector, Weaviate, Vectary, VectorVest. Lezi zinkampani zimele amaphuzu aphezulu kakhulu esizinda esigabeni se-Izizindalwazi zeVektha.

Ungakanani usayizi wenkampani ojwayelekile we-Izizindalwazi zeVektha SaaS?

Phakathi kwezinkampani ze-Izizindalwazi zeVektha SaaS ezinemininingwane yabasebenzi, ukusatshalaliswa kosayizi yilokhu: - 2 (7.7%), - 7 (26.9%), - 17 (65.4%).

Yimaphi amazwe anezinkampani ze-SaaS ze-Izizindalwazi zeVektha eziningi kakhulu?

Amazwe aphezulu e-Izizindalwazi zeVektha SaaS yilawa: United States (24), United Kingdom (2), Germany (2), Israel (1), Brazil (1). Lawa amelela amazinga amakhulu ezinkampani zesofthiwe ze-Izizindalwazi zeVektha emhlabeni jikelele.

Yimaphi amaphesenti ezinkampani ze-Izizindalwazi zeVektha ze-SaaS ezinikeza izinhlelo zokubambisana?

5 Izizindalwazi zeVektha Izinkampani ze-SaaS zinikeza izinhlelo ezihambisanayo, ezimele i-6.0% yazo zonke izinhlelo ze-Izizindalwazi zeVektha ezilandelwa yi-SaaS Browser. Izinga elimaphakathi lekhomishini lingu-20%.

Ingakanani iminyaka yobudala yezinkampani ze-Izizindalwazi zeVektha SaaS?

Inkampani ejwayelekile ye-Izizindalwazi zeVektha SaaS yasungulwa eminyakeni engu-5.0 eyedlule, kanti isilinganiso sonyaka wokusungulwa kwayo sasingu-2021.

Ingabe izinkampani ze-Izizindalwazi zeVektha SaaS zisebenza kakhulu njenge-B2B noma i-B2C?

Ngokusekelwe kudatha etholakalayo, izinkampani ze-Izizindalwazi zeVektha SaaS zihlukaniswa kanje: Kokubili i-B2B ne-B2C (19.3%), Ibhizinisi (B2B) (80.7%).

Yiziphi izinkampani ezintsha ze-Izizindalwazi zeVektha SaaS?

Izinkampani ze-Izizindalwazi zeVektha SaaS ezisanda kutholakala zifaka phakathi i-Vectornosis, VectorLens, EmbedCore, Mnemo, SightDex. I-SaaS Browser ithola futhi ibhale imikhiqizo emisha yesofthiwe njalo isebenzisa ingqalasizinda yokukhasa eyimfihlo.

Mayelana nesiphequluli se-SaaS

I-SaaS Browser iyisizindalwazi se-SaaS esikhulu kunazo zonke nesisesikhathini kakhulu ku-inthanethi - ithuluzi lokuhlola nokucwaninga eliphelele lezinkampani ze-SaaS.

Sithola amathuluzi amasha ngemva kwamasonto okwethulwa, ngaphambi kokuba avele ku-Apollo, ZoomInfo, noma kwezinye izizindalwazi. Ipulatifomu yethu eyakhelwe ngenhloso ilandelela kuphela imikhiqizo yesofthiwe yangempela enedatha eqinisekisiwe, ngokungafani namathuluzi okuhlola ajwayelekile angcoliswe yizinhlangano, izinhlangano zokubonisana, kanye nohlu oluphelelwe yisikhathi.

Kusukela emabhizinisini e-Fortune 500 kuya ezinkampanini ezintsha eziqaliswe kuleli sonto - uma kuyi-SaaS, siyayilandela.

Indlela lezi zinombolo ezibalwa ngayo

  1. Isofthiwe Ephelele. Inani lezinkampani ze-SaaS ezishicilelwe njengamanje ezisohlwini lalokhu okukhethiwe. Izinkampani eziphasa ukuhlola kwethu kwekhwalithi okuzenzakalelayo kuphela ezibalwayo.
  2. Okusha (Izinsuku ezingu-30 ezedlule). Inani eliyiqiniso lezinkampani ze-SaaS ezisanda kushicilelwa kulokhu okukhethiwe ezinsukwini ezingu-30 ezedlule.
  3. Izinhlelo Zokuxhumana. Inani lezinkampani ze-SaaS ezisohlwini ezisebenzisa uhlelo lokuxhumana noma lokudlulisa oluqinisekisiwe.
  4. Iminyaka Emaphakathi (Iminyaka). Iminyaka ephakathi, ngeminyaka, yezinkampani kulokhu okukhethiwe, ngokusekelwe onyakeni wokusungulwa. Iphakathi liyinani eliphakathi, ngakho-ke uhhafu badala futhi uhhafu basebancane.
  5. Okusha (Izinsuku ezingu-365 ezedlule). Inani lezinkampani ze-SaaS ezishicilelwe kulokhu okukhethiwe ezinsukwini ezingu-365 ezedlule.
  6. I-Churned (Unyaka Odlule). Izinkampani ezishicilelwe phakathi nonyaka odlule ezingasekho ohlwini — zaya offline, zasuswa, noma zayeka ukudlula ekuhloleni kwethu kwekhwalithi.
  7. Izinga Lonyaka Lokukhushulwa. Izinga lokushona lonyaka — izinkampani ezishonile njengephesenti lazo zonke izinkampani ezishicilelwe onyakeni odlule (ezisesohlwini kanye nezishonile).
  8. Isivivinyo Samahhala. Iphesenti lezinkampani ezisohlwini kulokhu okukhethiwe ezinikeza ukulingwa kwamahhala.
  9. Ukusatshalaliswa Kosayizi Wenkampani. Ukusatshalaliswa kwezinkampani ngenani labasebenzi: oyedwa (1), encane (2–50), ephakathi (51–200), enkulu (201–1,000), ye-enthaphrayizi (1,000+). Amaphesenti angawezinkampani ezinedatha yabasebenzi.
  10. Intengo Ephakathi Yokuqala (i-USD). Intengo yanyanga yokungena ephakathi (USD) kuzo zonke izinkampani kulokhu okukhethiwe ezinedatha yamanani.
  11. Intengo Ephakeme Emaphakathi (i-USD). Intengo yanyanga eliphakeme ephakathi (USD) kuzo zonke izinkampani kulokhu okukhethiwe ezinedatha yamanani.
  12. Isikolo Sokugcwalisa. Isikolo sokugcwala kwemakethe esingu-0–100 esihlanganisa imikhiqizo ephelele, igunya lesizinda, izizinda ezibhekisela, iminyaka yenkampani, ukukhula kwethrafikhi, amanani, kanye nokuba khona kwe-enthaphrayizi. Eliphezulu lisho ukuncintisana okukhulu.
  13. Ikhomishini Ejwayelekile. Izinga lekhomishini lokuxhumana eliphakathi elinikezwa izinkampani kulokhu okukhethiwe ezisebenzisa uhlelo lokuxhumana.
  14. Ukuhlukaniswa kwe-B2B / B2C. Ukuhlukaniswa kwezinkampani ngokwemakethe okuqondiwe — ibhizinisi (B2B), umthengi (B2C), noma kokubili — phakathi kwalezo ezinedatha yohlobo lomthengi.