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DBMS > BigchainDB vs. EXASOL vs. Splice Machine

System Properties Comparison BigchainDB vs. EXASOL vs. Splice Machine

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Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonEXASOL  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelDocument storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.09
Rank#214  Overall
#34  Document stores
Score2.85
Rank#118  Overall
#61  Relational DBMS
Score0.88
Rank#236  Overall
#110  Relational DBMS
Websitewww.bigchaindb.comwww.exasol.comsplicemachine.com
Technical documentationbigchaindb.readthedocs.io/­en/­latestwww.exasol.com/­resourcessplicemachine.com/­how-it-works
DeveloperExasolSplice Machine
Initial release201620002014
Current release3.1, March 2021
License infoCommercial or Open SourceOpen Source infoAGPL v3commercialOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonJava
Server operating systemsLinuxLinux
OS X
Solaris
Windows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyes
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.nono
Secondary indexesyesyes
SQL infoSupport of SQLnoyesyes
APIs and other access methodsCLI Client
RESTful HTTP API
.Net
JDBC
ODBC
WebSocket
JDBC
Native Spark Datasource
ODBC
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
Java
Lua
Python
R
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functionsyes infoJava
Triggersyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlyesAccess rights for users, groups and roles according to SQL-standardAccess rights for users, groups and roles according to SQL-standard

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More resources
BigchainDBEXASOLSplice Machine
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