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DBMS > GridGain vs. JanusGraph vs. LevelDB vs. Sequoiadb vs. Warp 10

System Properties Comparison GridGain vs. JanusGraph vs. LevelDB vs. Sequoiadb vs. Warp 10

Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonLevelDB  Xexclude from comparisonSequoiadb  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Embeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesNewSQL database with distributed OLTP and SQLTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelKey-value store
Relational DBMS
Graph DBMSKey-value storeDocument store
Relational DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websitewww.gridgain.comjanusgraph.orggithub.com/­google/­leveldbwww.sequoiadb.comwww.warp10.io
Technical documentationwww.gridgain.com/­docs/­index.htmldocs.janusgraph.orggithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdwww.sequoiadb.com/­en/­index.php?m=Files&a=indexwww.warp10.io/­content/­02_Getting_started
DeveloperGridGain Systems, Inc.Linux Foundation; originally developed as Titan by AureliusGoogleSequoiadb Ltd.SenX
Initial release20072017201120132015
Current releaseGridGain 8.5.10.6.3, February 20231.23, February 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoBSDOpen Source infoServer: AGPL; Client: Apache V2Open Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetJavaC++C++Java
Server operating systemsLinux
OS X
Solaris
Windows
Linux
OS X
Unix
Windows
Illumos
Linux
OS X
Windows
LinuxLinux
OS X
Windows
Data schemeyesyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyes infooid, date, timestamp, binary, regexyes
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.yesnononono
Secondary indexesyesyesnoyesno
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnonoSQL-like query languageno
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
proprietary protocol using JSONHTTP API
Jupyter
WebSocket
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
Clojure
Java
Python
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yesnoJavaScriptyes infoWarpScript
Triggersyes (cache interceptors and events)yesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)noneShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)yesnoneSource-replica replicationselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)yes infovia Faunus, a graph analytics enginenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyEventual ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynoyes infoRelationships in graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoDocument is locked during a transactionno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes infowith automatic compression on writesyesyes
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 implementationsUser authentification and security via Rexster Graph Servernosimple password-based access controlMandatory use of cryptographic tokens, containing fine-grained authorizations

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GridGainJanusGraph infosuccessor of TitanLevelDBSequoiadbWarp 10
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