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DBMS > Apache Solr vs. GridGain vs. SvectorDB

System Properties Comparison Apache Solr vs. GridGain vs. SvectorDB

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Editorial information provided by DB-Engines
NameApache Solr  Xexclude from comparisonGridGain  Xexclude from comparisonSvectorDB  Xexclude from comparison
DescriptionA widely used distributed, scalable search engine based on Apache LuceneGridGain is an in-memory computing platform, built on Apache IgniteServerless cloud-native vector database infoServerless cloud-native vector database
Primary database modelSearch engineColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Vector DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score32.79
Rank#23  Overall
#3  Search engines
Score1.33
Rank#154  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#70  Relational DBMS
Score0.00
Rank#385  Overall
#21  Vector DBMS
Websitesolr.apache.orgwww.gridgain.comsvectordb.com
Technical documentationsolr.apache.org/­resources.htmlwww.gridgain.com/­docs/­index.htmlwww.svectordb.com/­docs
DeveloperApache Software FoundationGridGain Systems, Inc.SvectorDB
Initial release200620072023
Current release9.6.1, May 2024GridGain 8.5.1
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial, open sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, C++, .Net, Python, REST, SQL
Server operating systemsAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
OS X
Solaris
Windows
z/OS
server-less
Data schemeyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateyes infosupports customizable data types and automatic typingyesstring, 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.yesyesno
Secondary indexesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLSolr Parallel SQL InterfaceANSI-99 for query and DML statements, subset of DDL
APIs and other access methodsJava API
RESTful HTTP/JSON API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
OpenAPI 3.0, RESTful HTTP API, Python SDK, JavaScript / TypeScript SDK
Supported programming languages.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresJava pluginsyes (compute grid and cache interceptors can be used instead)
Triggersyes infoUser configurable commands triggered on index changesyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceyes (compute grid and hadoop accelerator)
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic lockingACID
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.yesyes
User concepts infoAccess controlyesRole-based access control
Security Hooks for custom implementations

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More resources
Apache SolrGridGainSvectorDB
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