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DBMS > Dolt vs. EXASOL vs. Immudb vs. Spark SQL vs. TerarkDB

System Properties Comparison Dolt vs. EXASOL vs. Immudb vs. Spark SQL vs. TerarkDB

Editorial information provided by DB-Engines
NameDolt  Xexclude from comparisonEXASOL  Xexclude from comparisonImmudb  Xexclude from comparisonSpark SQL  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionA MySQL compatible DBMS with Git-like versioning of data and schemaHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.An open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.Spark SQL is a component on top of 'Spark Core' for structured data processingA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMSRelational DBMSKey-value storeRelational DBMSKey-value store
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.96
Rank#193  Overall
#90  Relational DBMS
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score0.24
Rank#305  Overall
#43  Key-value stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitegithub.com/­dolthub/­dolt
www.dolthub.com
www.exasol.comgithub.com/­codenotary/­immudb
immudb.io
spark.apache.org/­sqlgithub.com/­bytedance/­terarkdb
Technical documentationdocs.dolthub.comwww.exasol.com/­resourcesdocs.immudb.iospark.apache.org/­docs/­latest/­sql-programming-guide.htmlbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperDoltHub IncExasolCodenotaryApache Software FoundationByteDance, originally Terark
Initial release20182000202020142016
Current release1.2.3, April 20223.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0Open Source infoApache 2.0commercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoGoScalaC++
Server operating systemsLinux
macOS
Windows
BSD
Linux
macOS
Solaris
Windows
z/OS
Linux
OS X
Windows
Data schemeyesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.nonononono
Secondary indexesyesyesyesnono
SQL infoSupport of SQLyesyesSQL-like syntaxSQL-like DML and DDL statementsno
APIs and other access methodsCLI Client
HTTP REST
.Net
JDBC
ODBC
WebSocket
gRPC protocol
PostgreSQL wire protocol
JDBC
ODBC
C++ API
Java API
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Java
Lua
Python
R
.Net
Go
Java
JavaScript (Node.js)
Python
Java
Python
R
Scala
C++
Java
Server-side scripts infoStored proceduresyes infocurrently in alpha releaseuser defined functionsnonono
Triggersyesyesnonono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlOnly one user is configurable, and must be specified in the config file at startupAccess rights for users, groups and roles according to SQL-standardnono

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More resources
DoltEXASOLImmudbSpark SQLTerarkDB
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