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DBMS > Dolt vs. Ehcache vs. HugeGraph vs. Sequoiadb vs. Spark SQL

System Properties Comparison Dolt vs. Ehcache vs. HugeGraph vs. Sequoiadb vs. Spark SQL

Editorial information provided by DB-Engines
NameDolt  Xexclude from comparisonEhcache  Xexclude from comparisonHugeGraph  Xexclude from comparisonSequoiadb  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionA MySQL compatible DBMS with Git-like versioning of data and schemaA widely adopted Java cache with tiered storage optionsA fast-speed and highly-scalable Graph DBMSNewSQL database with distributed OLTP and SQLSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSKey-value storeGraph DBMSDocument 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
Score4.64
Rank#68  Overall
#8  Key-value stores
Score0.17
Rank#335  Overall
#31  Graph DBMS
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.ehcache.orggithub.com/­hugegraph
hugegraph.apache.org
www.sequoiadb.comspark.apache.org/­sql
Technical documentationdocs.dolthub.comwww.ehcache.org/­documentationhugegraph.apache.org/­docswww.sequoiadb.com/­en/­index.php?m=Files&a=indexspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperDoltHub IncTerracotta Inc, owned by Software AGBaiduSequoiadb Ltd.Apache Software Foundation
Initial release20182009201820132014
Current release3.10.0, March 20220.93.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses availableOpen Source infoApache Version 2.0Open 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

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Implementation languageGoJavaJavaC++Scala
Server operating systemsLinux
macOS
Windows
All OS with a Java VMLinux
macOS
Unix
LinuxLinux
OS X
Windows
Data schemeyesschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes 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.nonononono
Secondary indexesyesnoyes infoalso supports composite index and range indexyesno
SQL infoSupport of SQLyesnonoSQL-like query languageSQL-like DML and DDL statements
APIs and other access methodsCLI Client
HTTP REST
JCacheJava API
RESTful HTTP API
TinkerPop Gremlin
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
JavaGroovy
Java
Python
.Net
C++
Java
PHP
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresyes infocurrently in alpha releasenoasynchronous Gremlin script jobsJavaScriptno
Triggersyesyes infoCache Event Listenersnonono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoby using Terracotta Serveryes infodepending on used storage backend, e.g. Cassandra and HBaseShardingyes, 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.yes infoby using Terracotta Serveryes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonovia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Eventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnoyes infoedges in graphnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infosupports JTA and can work as an XA resourceACIDDocument is locked during a transactionno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infousing a tiered cache-storage approachyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnono
User concepts infoAccess controlOnly one user is configurable, and must be specified in the config file at startupnoUsers, roles and permissionssimple password-based access controlno

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More resources
DoltEhcacheHugeGraphSequoiadbSpark SQL
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