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DBMS > EventStoreDB vs. GridGain vs. Microsoft Azure AI Search vs. RocksDB

System Properties Comparison EventStoreDB vs. GridGain vs. Microsoft Azure AI Search vs. RocksDB

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Editorial information provided by DB-Engines
NameEventStoreDB  Xexclude from comparisonGridGain  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonRocksDB  Xexclude from comparison
DescriptionIndustrial-strength, open-source database solution built from the ground up for event sourcing.GridGain is an in-memory computing platform, built on Apache IgniteSearch-as-a-service for web and mobile app developmentEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelEvent StoreColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Search engineKey-value store
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#181  Overall
#1  Event Stores
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score5.75
Rank#58  Overall
#7  Search engines
Score2.84
Rank#97  Overall
#16  Key-value stores
Websitewww.eventstore.comwww.gridgain.comazure.microsoft.com/­en-us/­services/­searchrocksdb.org
Technical documentationdevelopers.eventstore.comwww.gridgain.com/­docs/­index.htmllearn.microsoft.com/­en-us/­azure/­searchgithub.com/­facebook/­rocksdb/­wiki
DeveloperEvent Store LimitedGridGain Systems, Inc.MicrosoftFacebook, Inc.
Initial release2012200720152013
Current release21.2, February 2021GridGain 8.5.1V19.4.0, June 2024
License infoCommercial or Open SourceOpen Sourcecommercial, open sourcecommercialOpen Source infoBSD
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++, .Net, Python, REST, SQLC++
Server operating systemsLinux
Windows
Linux
OS X
Solaris
Windows
z/OS
hostedLinux
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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.yesnono
Secondary indexesyesyesno
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnono
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
RESTful HTTP APIC++ API
Java API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C#
Java
JavaScript
Python
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)nono
Triggersyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud servicehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)yes infoImplicit feature of the cloud serviceyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyes
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.yesnoyes
User concepts infoAccess controlRole-based access control
Security Hooks for custom implementations
yes infousing Azure authenticationno

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More resources
EventStoreDBGridGainMicrosoft Azure AI SearchRocksDB
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