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DBMS > Apache Spark (SQL) vs. FeatureBase vs. SvectorDB

System Properties Comparison Apache Spark (SQL) vs. FeatureBase vs. SvectorDB

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Editorial information provided by DB-Engines
NameApache Spark (SQL)  Xexclude from comparisonFeatureBase  Xexclude from comparisonSvectorDB  Xexclude from comparison
DescriptionApache Spark SQL is a component on top of 'Spark Core' for structured data processingReal-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 DBMSRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score19.76
Rank#30  Overall
#18  Relational DBMS
Score0.26
Rank#292  Overall
#132  Relational DBMS
Score0.02
Rank#374  Overall
#21  Vector DBMS
Websitespark.apache.org/­sqlwww.featurebase.comsvectordb.com
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.featurebase.comwww.svectordb.com/­docs
DeveloperApache Software FoundationMolecula and Pilosa Open Source ContributorsSvectorDB
Initial release201420172023
Current release3.5.0 ( 2.13), September 20232022, May 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaGo
Server operating systemsLinux
OS X
Windows
Linux
macOS
server-less
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyesstring, 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.nonono
Secondary indexesnono
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL queries
APIs and other access methodsJDBC
ODBC
gRPC
JDBC
Kafka Connector
ODBC
OpenAPI 3.0, RESTful HTTP API, Python SDK, JavaScript / TypeScript SDK
Supported programming languagesJava
Python
R
Scala
Java
Python
Server-side scripts infoStored proceduresno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes, using Linux fsyncyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlno

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More resources
Apache Spark (SQL)FeatureBaseSvectorDB
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