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DBMS > GridGain vs. InfinityDB vs. OpenMLDB vs. Riak KV

System Properties Comparison GridGain vs. InfinityDB vs. OpenMLDB vs. Riak KV

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonInfinityDB  Xexclude from comparisonOpenMLDB  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteA Java embedded Key-Value Store which extends the Java Map interfaceAn open-source machine learning database that provides a feature platform for training and inferenceDistributed, fault tolerant key-value store
Primary database modelKey-value store
Relational DBMS
Key-value storeTime Series DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
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
Score0.08
Rank#365  Overall
#55  Key-value stores
Score0.10
Rank#359  Overall
#36  Time Series DBMS
Score4.01
Rank#79  Overall
#9  Key-value stores
Websitewww.gridgain.comboilerbay.comopenmldb.ai
Technical documentationwww.gridgain.com/­docs/­index.htmlboilerbay.com/­infinitydb/­manualopenmldb.ai/­docs/­zh/­mainwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperGridGain Systems, Inc.Boiler Bay Inc.4 Paradigm Inc.OpenSource, formerly Basho Technologies
Initial release2007200220202009
Current releaseGridGain 8.5.14.02024-2 February 20243.2.0, December 2022
License infoCommercial or Open SourcecommercialcommercialOpen SourceOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetJavaC++, Java, ScalaErlang
Server operating systemsLinux
OS X
Solaris
Windows
All OS with a Java VMLinuxLinux
OS X
Data schemeyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeFixed schemaschema-free
Typing infopredefined data types such as float or dateyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyesno
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.yesnonono
Secondary indexesyesno infomanual creation possible, using inversions based on multi-value capabilityyesrestricted
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnoyesno
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
JDBC
SQLAlchemy
HTTP API
Native Erlang Interface
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
JavaC++
Go
Java
Python
Scala
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)nonoErlang
Triggersyes (cache interceptors and events)nonoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioningSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)noneSource-replica replicationselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)noyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynono infomanual creation possible, using inversions based on multi-value capabilitynono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoOptimistic locking for transactions; no isolation for bulk loadsnono
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.yesnoyes
User concepts infoAccess controlSecurity Hooks for custom implementationsnofine grained access rights according to SQL-standardyes, using Riak Security

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More resources
GridGainInfinityDBOpenMLDBRiak KV
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