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DBMS > GridGain vs. Heroic vs. Hive vs. IRONdb vs. Titan

System Properties Comparison GridGain vs. Heroic vs. Hive vs. IRONdb vs. Titan

Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonHeroic  Xexclude from comparisonHive  Xexclude from comparisonIRONdb  Xexclude from comparisonTitan  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchdata warehouse software for querying and managing large distributed datasets, built on HadoopA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelKey-value store
Relational DBMS
Time Series DBMSRelational DBMSTime Series DBMSGraph 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
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score59.76
Rank#18  Overall
#12  Relational DBMS
Websitewww.gridgain.comgithub.com/­spotify/­heroichive.apache.orgwww.circonus.com/solutions/time-series-database/github.com/­thinkaurelius/­titan
Technical documentationwww.gridgain.com/­docs/­index.htmlspotify.github.io/­heroiccwiki.apache.org/­confluence/­display/­Hive/­Homedocs.circonus.com/irondb/category/getting-startedgithub.com/­thinkaurelius/­titan/­wiki
DeveloperGridGain Systems, Inc.SpotifyApache Software Foundation infoinitially developed by FacebookCirconus LLC.Aurelius, owned by DataStax
Initial release20072014201220172012
Current releaseGridGain 8.5.13.1.3, April 2022V0.10.20, January 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2commercialOpen Source infoApache license, version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetJavaJavaC and C++Java
Server operating systemsLinux
OS X
Solaris
Windows
All OS with a Java VMLinuxLinux
OS X
Unix
Windows
Data schemeyesschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes infotext, numeric, histogramsyes
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 indexesyesyes infovia Elasticsearchyesnoyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnoSQL-like DML and DDL statementsSQL-like query language (Circonus Analytics Query Language: CAQL)no
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HQL (Heroic Query Language, a JSON-based language)
HTTP API
JDBC
ODBC
Thrift
HTTP APIJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C++
Java
PHP
Python
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Clojure
Java
Python
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)noyes infouser defined functions and integration of map-reduceyes, in Luayes
Triggersyes (cache interceptors and events)nononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingAutomatic, metric affinity per nodeyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)yesselectable replication factorconfigurable replication factor, datacenter awareyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)noyes infoquery execution via MapReducenoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual ConsistencyImmediate consistency per node, eventual consistency across nodesEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonononoyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
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 implementationsAccess rights for users, groups and rolesnoUser authentification and security via Rexster Graph Server

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GridGainHeroicHiveIRONdbTitan
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