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DBMS > GridGain vs. Immudb vs. Kyligence Enterprise vs. STSdb

System Properties Comparison GridGain vs. Immudb vs. Kyligence Enterprise vs. STSdb

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonImmudb  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteAn open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.A distributed analytics engine for big data, built on top of Apache KylinKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelKey-value store
Relational DBMS
Key-value storeRelational DBMSKey-value store
Secondary database modelsRelational 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
Score0.31
Rank#295  Overall
#42  Key-value stores
Score0.46
Rank#266  Overall
#124  Relational DBMS
Score0.10
Rank#357  Overall
#51  Key-value stores
Websitewww.gridgain.comgithub.com/­codenotary/­immudb
immudb.io
kyligence.io/­kyligence-enterprisegithub.com/­STSSoft/­STSdb4
Technical documentationwww.gridgain.com/­docs/­index.htmldocs.immudb.io
DeveloperGridGain Systems, Inc.CodenotaryKyligence, Inc.STS Soft SC
Initial release2007202020162011
Current releaseGridGain 8.5.11.2.3, April 20224.0.8, September 2015
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetGoJavaC#
Server operating systemsLinux
OS X
Solaris
Windows
BSD
Linux
macOS
Solaris
Windows
z/OS
LinuxWindows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes infoprimitive types and user defined types (classes)
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 indexesyesyesyesno
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLSQL-like syntaxANSI SQL for queries (using Apache Calcite)no
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
gRPC protocol
PostgreSQL wire protocol
JDBC
ODBC
RESTful HTTP API
.NET Client API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.Net
Go
Java
JavaScript (Node.js)
Python
C#
Java
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)nono
Triggersyes (cache interceptors and events)nono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)noyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
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.yesnono
User concepts infoAccess controlSecurity Hooks for custom implementationsno

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More resources
GridGainImmudbKyligence EnterpriseSTSdb
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