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DBMS > Datomic vs. GridGain vs. IRONdb vs. RocksDB vs. TimesTen

System Properties Comparison Datomic vs. GridGain vs. IRONdb vs. RocksDB vs. TimesTen

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonGridGain  Xexclude from comparisonIRONdb  Xexclude from comparisonRocksDB  Xexclude from comparisonTimesTen  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
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 IgniteA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityEmbeddable persistent key-value store optimized for fast storage (flash and RAM)An in-memory SQL relational database that delivers microsecond response and high throughput for OLTP applications. TimesTen can be deployed as a standalone database or as a cache to a backend Oracle database.
Primary database modelRelational DBMSColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Time Series DBMSKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#144  Overall
#67  Relational DBMS
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score2.84
Rank#97  Overall
#16  Key-value stores
Score1.26
Rank#164  Overall
#75  Relational DBMS
Websitewww.datomic.comwww.gridgain.comwww.circonus.com/solutions/time-series-database/rocksdb.orgwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdocs.datomic.comwww.gridgain.com/­docs/­index.htmldocs.circonus.com/irondb/category/getting-startedgithub.com/­facebook/­rocksdb/­wikidocs.oracle.com/­en/­database/­other-databases/­timesten/­index.html
DeveloperCognitectGridGain Systems, Inc.Circonus LLC.Facebook, Inc.Oracle infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20122007201720131998
Current release1.0.7180, July 2024GridGain 8.5.1V0.10.20, January 20189.4.0, June 2024Release 22.1
License infoCommercial or Open Sourcecommercial infolimited edition freecommercial, open sourcecommercialOpen Source infoBSDcommercial
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, ClojureJava, C++, .Net, Python, REST, SQLC and C++C++
Server operating systemsAll OS with a Java VMLinux
OS X
Solaris
Windows
z/OS
LinuxLinuxIBM AIX Power PC 64-bit
Linux arm64
Linux x86-64
Solaris SPARC 64
Solaris SPARC/x86
Solaris x86-64
Data schemeyesyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infotext, numeric, histogramsnoyes
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.noyesnonono
Secondary indexesyesyesnonoyes
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLSQL-like query language (Circonus Analytics Query Language: CAQL)noyes
APIs and other access methodsRESTful HTTP APIHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP APIC++ API
Java API
ODBC
ODP.NET
Oracle Call Interface (OCI)
Pro*C/C++ programming interfaces
SQL and PL/SQL via JDBC
Supported programming languagesClojure
Java
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C++
Go
Java
Perl
Python
Ruby
C
C++
Java
Node.js
PL/SQL
Python
Server-side scripts infoStored proceduresyes infoTransaction Functionsyes (compute grid and cache interceptors can be used instead)yes, in LuanoPL/SQL
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 peersShardingAutomatic, metric affinity per nodehorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersyes (replicated cache)configurable replication factor, datacenter awareyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyesyes infoby means of logfiles and checkpoints
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 developmentyesnoyesyes
User concepts infoAccess controlnoRole-based access control
Security Hooks for custom implementations
nonofine grained access rights according to SQL-standard

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More resources
DatomicGridGainIRONdbRocksDBTimesTen
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