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DBMS > Altibase vs. Datomic vs. Dragonfly vs. Hypertable vs. IRONdb

System Properties Comparison Altibase vs. Datomic vs. Dragonfly vs. Hypertable vs. IRONdb

Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonDatomic  Xexclude from comparisonDragonfly  Xexclude from comparisonHypertable  Xexclude from comparisonIRONdb  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAn enterprise grade, high-performance RDBMSDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceAn open source BigTable implementation based on distributed file systems such as HadoopA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicity
Primary database modelRelational DBMSRelational DBMSKey-value storeWide column storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#186  Overall
#87  Relational DBMS
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.41
Rank#266  Overall
#38  Key-value stores
Websitealtibase.comwww.datomic.comgithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.circonus.com/solutions/time-series-database/
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsdocs.datomic.comwww.dragonflydb.io/­docsdocs.circonus.com/irondb/category/getting-started
DeveloperAltibaseCognitectDragonflyDB team and community contributorsHypertable Inc.Circonus LLC.
Initial release19992012202320092017
Current releasev7.3, 2023, August 20231.0.6735, June 20231.0, March 20230.9.8.11, March 2016V0.10.20, January 2018
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023commercial infolimited edition freeOpen Source infoBSL 1.1Open Source infoGNU version 3. Commercial license availablecommercial
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 languageC++Java, ClojureC++C++C and C++
Server operating systemsAIX
HP-UX
Linux
All OS with a Java VMLinuxLinux
OS X
Windows infoan inofficial Windows port is available
Linux
Data schemeyesyesscheme-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesstrings, hashes, lists, sets, sorted sets, bit arraysnoyes infotext, numeric, histograms
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.nononono
Secondary indexesyesyesnorestricted infoonly exact value or prefix value scansno
SQL infoSupport of SQLANSI SQL-92nononoSQL-like query language (Circonus Analytics Query Language: CAQL)
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP APIProprietary protocol infoRESP - REdis Serialization ProtocolC++ API
Thrift
HTTP API
Supported programming languagesC
C++
Java
Clojure
Java
C
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
C++
Java
Perl
PHP
Python
Ruby
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Server-side scripts infoStored proceduresstored procedures and stored functionsyes infoTransaction FunctionsLuanoyes, in Lua
TriggersyesBy using transaction functionspublish/subscribe channels provide some trigger functionalitynono
Partitioning methods infoMethods for storing different data on different nodesShardingnone infoBut extensive use of caching in the application peersShardingAutomatic, metric affinity per node
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoBut extensive use of caching in the application peersSource-replica replicationselectable replication factor on file system levelconfigurable replication factor, datacenter aware
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic execution of command blocks and scriptsnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes, strict serializability by the serveryesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes inforecommended only for testing and developmentyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardnoPassword-based authenticationnono

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More resources
AltibaseDatomicDragonflyHypertableIRONdb
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