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DBMS > FeatureBase vs. SvectorDB

System Properties Comparison FeatureBase vs. SvectorDB

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Our visitors often compare FeatureBase and SvectorDB with Apache Spark (SQL), Manticore Search and Apache HBase.

Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonSvectorDB  Xexclude from comparison
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Serverless cloud-native vector database infoServerless cloud-native vector database
Primary database modelRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.21
Rank#303  Overall
#135  Relational DBMS
Score0.00
Rank#381  Overall
#18  Vector DBMS
Websitewww.featurebase.comsvectordb.com
Technical documentationdocs.featurebase.comwww.svectordb.com/­docs
DeveloperMolecula and Pilosa Open Source ContributorsSvectorDB
Initial release20172023
Current release2022, May 2022
License infoCommercial or Open Sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGo
Server operating systemsLinux
macOS
server-less
Data schemeyes
Typing infopredefined data types such as float or dateyesstring, double, vector
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nono
Secondary indexesno
SQL infoSupport of SQLSQL queries
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
OpenAPI 3.0, RESTful HTTP API, Python SDK, JavaScript / TypeScript SDK
Supported programming languagesJava
Python
Triggersno
Partitioning methods infoMethods for storing different data on different nodesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes

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More resources
FeatureBaseSvectorDB
Recent citations in the news

Former Silicon Labs CEO Tyson Tuttle launches AI startup Circuit, acquires Austin startup Molecula
23 July 2024, The Business Journals

Pilosa: A Scalable High Performance Bitmap Database Index
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provided by Google News



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