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DBMS > BigObject vs. EXASOL vs. IRONdb vs. jBASE vs. SingleStore

System Properties Comparison BigObject vs. EXASOL vs. IRONdb vs. jBASE vs. SingleStore

Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonEXASOL  Xexclude from comparisonIRONdb  Xexclude from comparisonjBASE  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAnalytic DBMS for real-time computations and queriesHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityA robust multi-value DBMS comprising development tools and middlewareMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSTime Series DBMSMultivalue DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#329  Overall
#147  Relational DBMS
Score1.66
Rank#138  Overall
#64  Relational DBMS
Score1.36
Rank#157  Overall
#3  Multivalue DBMS
Score4.02
Rank#74  Overall
#39  Relational DBMS
Websitebigobject.iowww.exasol.comwww.circonus.com/solutions/time-series-database/www.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasewww.singlestore.com
Technical documentationdocs.bigobject.iowww.exasol.com/­resourcesdocs.circonus.com/irondb/category/getting-starteddocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9docs.singlestore.com
DeveloperBigObject, Inc.ExasolCirconus LLC.Rocket Software (formerly Zumasys)SingleStore Inc.
Initial release20152000201719912013
Current releaseV0.10.20, January 20185.78.5, January 2024
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercialcommercialcommercialcommercial infofree developer edition available
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 and C++C++, Go
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
LinuxAIX
Linux
Windows
Linux info64 bit version required
Data schemeyesyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infotext, numeric, histogramsoptionalyes
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.nononoyesno
Secondary indexesyesyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesSQL-like query language (Circonus Analytics Query Language: CAQL)Embedded SQL for jBASE in BASICyes infobut no triggers and foreign keys
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
.Net
JDBC
ODBC
WebSocket
HTTP APIJDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languagesJava
Lua
Python
R
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
Basic
Jabbascript
Java
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresLuauser defined functionsyes, in Luayesyes
Triggersnoyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingAutomatic, metric affinity per nodeShardingSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneconfigurable replication factor, datacenter awareyesSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationnonono infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyesyes
User concepts infoAccess controlnoAccess rights for users, groups and roles according to SQL-standardnoAccess rights can be defined down to the item levelFine grained access control via users, groups and roles

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More resources
BigObjectEXASOLIRONdbjBASESingleStore infoformer name was MemSQL
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