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DBMS > Dolt vs. Hazelcast vs. OceanBase vs. Postgres-XL

System Properties Comparison Dolt vs. Hazelcast vs. OceanBase vs. Postgres-XL

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Editorial information provided by DB-Engines
NameDolt  Xexclude from comparisonHazelcast  Xexclude from comparisonOceanBase  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionA MySQL compatible DBMS with Git-like versioning of data and schemaA widely adopted in-memory data gridA distributed, high available RDBMS compatible with Oracle and MySQLBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelRelational DBMSKey-value storeRelational DBMSRelational DBMS
Secondary database modelsDocument storeDocument store infoJSON support with IMDG 3.12Document store
Wide column store
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.02
Rank#191  Overall
#89  Relational DBMS
Score5.46
Rank#61  Overall
#7  Key-value stores
Score1.57
Rank#149  Overall
#69  Relational DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Websitegithub.com/­dolthub/­dolt
www.dolthub.com
hazelcast.comen.oceanbase.comwww.postgres-xl.org
Technical documentationdocs.dolthub.comhazelcast.org/­imdg/­docsen.oceanbase.com/­docs/­oceanbase-databasewww.postgres-xl.org/­documentation
DeveloperDoltHub IncHazelcastOceanBase infopreviously Alibaba and Ant Group
Initial release2018200820102014 infosince 2012, originally named StormDB
Current release5.3.6, November 20234.3.0, April 202410 R1, October 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses availableOpen Source infoCommercial license availableOpen Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaC++C
Server operating systemsLinux
macOS
Windows
All OS with a Java VMLinuxLinux
macOS
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyes infothe object must implement a serialization strategyyesyes infoXML type, but no XML query functionality
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesSQL-like query languageyesyes infodistributed, parallel query execution
APIs and other access methodsCLI Client
HTTP REST
JCache
JPA
Memcached protocol
RESTful HTTP API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Proprietary native API
Table API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
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
Java
JavaScript (Node.js)
Python
Scala
Ada infoin MySQL-compatible model
C infoin Oracle- and MySQL- compatible models
C++ infoin Oracle- and MySQL- compatible models
D infoin MySQL-compatible model
Delphi infoin MySQL-compatible model
Eiffel infoin MySQL-compatible model
Erlang infoin MySQL-compatible model
Haskell infoin MySQL-compatible model
Java infoin Oracle- and MySQL- compatible models
JavaScript (Node.js) infoin MySQL-compatible model
Objective-C infoin MySQL-compatible model
OCaml infoin MySQL-compatible model
Perl infoin MySQL-compatible model
PHP infoin MySQL-compatible model
Python infoin MySQL-compatible model
Ruby infoin MySQL-compatible model
Scheme infoin MySQL-compatible model
Tcl infoin MySQL-compatible model
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyes infocurrently in alpha releaseyes infoEvent Listeners, Executor ServicesPL/SQL in oracle-compatible mode, MySQL Stored Procedure in mysql-compatible modeuser defined functions
Triggersyesyes infoEventsyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning (by hash, key, range, range columns, list, and list columns)horizontal partitioning
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 infoReplicated MapMulti-source replication using Paxos
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDone or two-phase-commit; repeatable reads; read commitedACIDACID infoMVCC
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.yesno
User concepts infoAccess controlOnly one user is configurable, and must be specified in the config file at startupRole-based access controlAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard

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More resources
DoltHazelcastOceanBasePostgres-XL
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