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DBMS > Dolt vs. EventStoreDB vs. LMDB vs. Sequoiadb vs. Spark SQL

System Properties Comparison Dolt vs. EventStoreDB vs. LMDB vs. Sequoiadb vs. Spark SQL

Editorial information provided by DB-Engines
NameDolt  Xexclude from comparisonEventStoreDB  Xexclude from comparisonLMDB  Xexclude from comparisonSequoiadb  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionA MySQL compatible DBMS with Git-like versioning of data and schemaIndustrial-strength, open-source database solution built from the ground up for event sourcing.A high performant, light-weight, embedded key-value database libraryNewSQL database with distributed OLTP and SQLSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSEvent StoreKey-value storeDocument store
Relational DBMS
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.02
Rank#191  Overall
#89  Relational DBMS
Score1.19
Rank#173  Overall
#1  Event Stores
Score2.09
Rank#121  Overall
#20  Key-value stores
Score0.50
Rank#258  Overall
#41  Document stores
#120  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitegithub.com/­dolthub/­dolt
www.dolthub.com
www.eventstore.comwww.symas.com/­symas-embedded-database-lmdbwww.sequoiadb.comspark.apache.org/­sql
Technical documentationdocs.dolthub.comdevelopers.eventstore.comwww.lmdb.tech/­docwww.sequoiadb.com/­en/­index.php?m=Files&a=indexspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperDoltHub IncEvent Store LimitedSymasSequoiadb Ltd.Apache Software Foundation
Initial release20182012201120132014
Current release21.2, February 20210.9.32, January 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open SourceOpen SourceOpen Source infoServer: AGPL; Client: Apache V2Open Source infoApache 2.0
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 languageGoCC++Scala
Server operating systemsLinux
macOS
Windows
Linux
Windows
Linux
Unix
Windows
LinuxLinux
OS X
Windows
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyes infooid, date, timestamp, binary, regexyes
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 indexesyesnoyesno
SQL infoSupport of SQLyesnoSQL-like query languageSQL-like DML and DDL statements
APIs and other access methodsCLI Client
HTTP REST
proprietary protocol using JSONJDBC
ODBC
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
.Net
C++
Java
PHP
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresyes infocurrently in alpha releasenoJavaScriptno
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingyes, utilizing Spark Core
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.noneSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDDocument is locked during a transactionno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlOnly one user is configurable, and must be specified in the config file at startupnosimple password-based access controlno

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More resources
DoltEventStoreDBLMDBSequoiadbSpark SQL
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