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DBMS > GridGain vs. Kdb vs. Rockset vs. Solr

System Properties Comparison GridGain vs. Kdb vs. Rockset vs. Solr

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonKdb  Xexclude from comparisonRockset  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteHigh performance Time Series DBMSA scalable, reliable search and analytics service in the cloud, built on RocksDBA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelKey-value store
Relational DBMS
Time Series DBMS
Vector DBMS
Document storeSearch engine
Secondary database modelsRelational DBMSRelational DBMS
Search engine
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score0.82
Rank#212  Overall
#36  Document stores
Score41.02
Rank#24  Overall
#3  Search engines
Websitewww.gridgain.comkx.comrockset.comsolr.apache.org
Technical documentationwww.gridgain.com/­docs/­index.htmlcode.kx.comdocs.rockset.comsolr.apache.org/­resources.html
DeveloperGridGain Systems, Inc.Kx Systems, a division of First Derivatives plcRocksetApache Software Foundation
Initial release20072000 infokdb was released 2000, kdb+ in 200320192006
Current releaseGridGain 8.5.13.6, May 20189.6.1, May 2024
License infoCommercial or Open Sourcecommercialcommercial infofree 32-bit versioncommercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetqC++Java
Server operating systemsLinux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
hostedAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesdynamic typingyes infosupports customizable data types and automatic typing
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 infoingestion from XML files supportedyes
Secondary indexesyesyes infotable attribute 'grouped'all fields are automatically indexedyes infoAll search fields are automatically indexed
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLSQL-like query language (q)Read-only SQL queries, including JOINsSolr Parallel SQL Interface
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
HTTP RESTJava API
RESTful HTTP/JSON API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Go
Java
JavaScript (Node.js)
Python
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)user defined functionsnoJava plugins
Triggersyes (cache interceptors and events)yes infowith viewsnoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningAutomatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Source-replica replicationyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)no infosimilar paradigm used for internal processingnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlSecurity Hooks for custom implementationsrights management via user accountsAccess rights for users and organizations can be defined via Rockset consoleyes
More information provided by the system vendor
GridGainKdbRocksetSolr
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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GridGainKdbRocksetSolr
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