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DBMS > GridGain vs. HarperDB vs. HugeGraph vs. TempoIQ vs. ToroDB

System Properties Comparison GridGain vs. HarperDB vs. HugeGraph vs. TempoIQ vs. ToroDB

Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonHarperDB  Xexclude from comparisonHugeGraph  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparisonToroDB  Xexclude from comparison
TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.A fast-speed and highly-scalable Graph DBMSScalable analytics DBMS for sensor data, provided as a service (SaaS)A MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelKey-value store
Relational DBMS
Document storeGraph DBMSTime Series DBMSDocument store
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
Score0.55
Rank#248  Overall
#38  Document stores
Score0.13
Rank#336  Overall
#32  Graph DBMS
Websitewww.gridgain.comwww.harperdb.iogithub.com/­hugegraph
hugegraph.apache.org
tempoiq.com (offline)github.com/­torodb/­server
Technical documentationwww.gridgain.com/­docs/­index.htmldocs.harperdb.io/­docshugegraph.apache.org/­docs
DeveloperGridGain Systems, Inc.HarperDBBaiduTempoIQ8Kdata
Initial release20072017201820122016
Current releaseGridGain 8.5.13.1, August 20210.9
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availableOpen Source infoApache Version 2.0commercialOpen Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetNode.jsJavaJava
Server operating systemsLinux
OS X
Solaris
Windows
Linux
OS X
Linux
macOS
Unix
All OS with a Java 7 VM
Data schemeyesdynamic schemayesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infoJSON data typesyesyesyes infostring, integer, double, boolean, date, object_id
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 indexesyesyesyes infoalso supports composite index and range index
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLSQL-like data manipulation statementsnono
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Java API
RESTful HTTP API
TinkerPop Gremlin
HTTP API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
Groovy
Java
Python
C#
Java
JavaScript infoNode.js
Python
Ruby
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)Custom Functions infosince release 3.1asynchronous Gremlin script jobsno
Triggersyes (cache interceptors and events)nonoyes infoRealtime Alertsno
Partitioning methods infoMethods for storing different data on different nodesShardingA table resides as a whole on one (or more) nodes in a clusteryes infodepending on used storage backend, e.g. Cassandra and HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)yes infothe nodes on which a table resides can be definedyes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)novia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyes infoedges in graphnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlSecurity Hooks for custom implementationsAccess rights for users and rolesUsers, roles and permissionssimple authentication-based access controlAccess rights for users and roles

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More resources
GridGainHarperDBHugeGraphTempoIQ infoformerly TempoDBToroDB
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