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

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

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Editorial information provided by DB-Engines
NameApache Spark (SQL)  Xexclude from comparisonNCache  Xexclude from comparisonSvectorDB  Xexclude from comparison
DescriptionApache Spark SQL is a component on top of 'Spark Core' for structured data processingOpen-Source and Enterprise in-memory Key-Value StoreServerless cloud-native vector database infoServerless cloud-native vector database
Primary database modelRelational DBMSKey-value storeVector DBMS
Secondary database modelsDocument store
Search engine infoUsing distributed Lucene
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score21.62
Rank#29  Overall
#18  Relational DBMS
Score0.85
Rank#203  Overall
#30  Key-value stores
Score0.00
Rank#385  Overall
#21  Vector DBMS
Websitespark.apache.org/­sqlwww.alachisoft.com/­ncachesvectordb.com
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.alachisoft.com/­resources/­docswww.svectordb.com/­docs
DeveloperApache Software FoundationAlachisoftSvectorDB
Initial release201420052023
Current release3.5.0 ( 2.13), September 20235.3.3, April 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoEnterprise Edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaC#, .NET, .NET Core, Java
Server operating systemsLinux
OS X
Windows
Linux
Windows
server-less
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyespartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counterstring, 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 indexesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.
APIs and other access methodsJDBC
ODBC
IDistributedCache
JCache
LINQ
Proprietary native API
OpenAPI 3.0, RESTful HTTP API, Python SDK, JavaScript / TypeScript SDK
Supported programming languagesJava
Python
R
Scala
.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresnono infosupport for stored procedures with SQL-Server CLR
Triggersnoyes infoNotifications
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark Coreyes
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Immediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic locking and pessimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnoAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)

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More resources
Apache Spark (SQL)NCacheSvectorDB
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