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DBMS > Datomic vs. GridGain vs. LevelDB vs. Warp 10

System Properties Comparison Datomic vs. GridGain vs. LevelDB vs. Warp 10

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonGridGain  Xexclude from comparisonLevelDB  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityGridGain is an in-memory computing platform, built on Apache IgniteEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelRelational DBMSKey-value store
Relational DBMS
Key-value storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score2.25
Rank#115  Overall
#19  Key-value stores
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websitewww.datomic.comwww.gridgain.comgithub.com/­google/­leveldbwww.warp10.io
Technical documentationdocs.datomic.comwww.gridgain.com/­docs/­index.htmlgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdwww.warp10.io/­content/­02_Getting_started
DeveloperCognitectGridGain Systems, Inc.GoogleSenX
Initial release2012200720112015
Current release1.0.7075, December 2023GridGain 8.5.11.23, February 2021
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialOpen Source infoBSDOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureJava, C++, .NetC++Java
Server operating systemsAll OS with a Java VMLinux
OS X
Solaris
Windows
Illumos
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyes
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.noyesnono
Secondary indexesyesyesnono
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLnono
APIs and other access methodsRESTful HTTP APIHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP API
Jupyter
WebSocket
Supported programming languagesClojure
Java
C#
C++
Java
PHP
Python
Ruby
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Server-side scripts infoStored proceduresyes infoTransaction Functionsyes (compute grid and cache interceptors can be used instead)noyes infoWarpScript
TriggersBy using transaction functionsyes (cache interceptors and events)nono
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingnoneSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersyes (replicated cache)noneselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyesyes
User concepts infoAccess controlnoSecurity Hooks for custom implementationsnoMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
DatomicGridGainLevelDBWarp 10
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