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DBMS > Dolt vs. Hazelcast vs. Postgres-XL vs. Teradata Aster

System Properties Comparison Dolt vs. Hazelcast vs. Postgres-XL vs. Teradata Aster

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Editorial information provided by DB-Engines
NameDolt  Xexclude from comparisonHazelcast  Xexclude from comparisonPostgres-XL  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionA MySQL compatible DBMS with Git-like versioning of data and schemaA widely adopted in-memory data gridBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresPlatform for big data analytics on multistructured data sources and types
Primary database modelRelational DBMSKey-value storeRelational DBMSRelational DBMS
Secondary database modelsDocument storeDocument store infoJSON support with IMDG 3.12Document 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
Score0.53
Rank#254  Overall
#117  Relational DBMS
Websitegithub.com/­dolthub/­dolt
www.dolthub.com
hazelcast.comwww.postgres-xl.org
Technical documentationdocs.dolthub.comhazelcast.org/­imdg/­docswww.postgres-xl.org/­documentation
DeveloperDoltHub IncHazelcastTeradata
Initial release201820082014 infosince 2012, originally named StormDB2005
Current release5.3.6, November 202310 R1, October 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses availableOpen Source infoMozilla public licensecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaC
Server operating systemsLinux
macOS
Windows
All OS with a Java VMLinux
macOS
Linux
Data schemeyesschema-freeyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
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 strategyyes infoXML type, but no XML query functionalityyes infoin Aster File Store
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesSQL-like query languageyes infodistributed, parallel query executionyes
APIs and other access methodsCLI Client
HTTP REST
JCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
ODBC
OLE DB
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
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresyes infocurrently in alpha releaseyes infoEvent Listeners, Executor Servicesuser defined functionsR packages
Triggersyesyes infoEventsyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioningSharding
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 Mapyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDone or two-phase-commit; repeatable reads; read commitedACID infoMVCCACID
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 startupRole-based access controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
DoltHazelcastPostgres-XLTeradata Aster
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