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DBMS > Dolt vs. EJDB vs. Fujitsu Enterprise Postgres vs. Hazelcast vs. Prometheus

System Properties Comparison Dolt vs. EJDB vs. Fujitsu Enterprise Postgres vs. Hazelcast vs. Prometheus

Editorial information provided by DB-Engines
NameDolt  Xexclude from comparisonEJDB  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonHazelcast  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionA MySQL compatible DBMS with Git-like versioning of data and schemaEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Enterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.A widely adopted in-memory data gridOpen-source Time Series DBMS and monitoring system
Primary database modelRelational DBMSDocument storeRelational DBMSKey-value storeTime Series DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
Document store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.02
Rank#191  Overall
#89  Relational DBMS
Score0.31
Rank#296  Overall
#44  Document stores
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score5.46
Rank#61  Overall
#7  Key-value stores
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Websitegithub.com/­dolthub/­dolt
www.dolthub.com
github.com/­Softmotions/­ejdbwww.postgresql.fastware.comhazelcast.comprometheus.io
Technical documentationdocs.dolthub.comgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdwww.postgresql.fastware.com/­product-manualshazelcast.org/­imdg/­docsprometheus.io/­docs
DeveloperDoltHub IncSoftmotionsPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyHazelcast
Initial release2018201220082015
Current releaseFujitsu Enterprise Postgres 14, January 20225.3.6, November 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGPLv2commercialOpen Source infoApache Version 2; commercial licenses availableOpen 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 languageGoCCJavaGo
Server operating systemsLinux
macOS
Windows
server-lessLinux
Windows
All OS with a Java VMLinux
Windows
Data schemeyesschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, bool, date, object_idyesyesNumeric data only
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 strategyno infoImport of XML data possible
Secondary indexesyesnoyesyesno
SQL infoSupport of SQLyesnoyesSQL-like query languageno
APIs and other access methodsCLI Client
HTTP REST
in-process shared libraryADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JCache
JPA
Memcached protocol
RESTful HTTP API
RESTful HTTP/JSON 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
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresyes infocurrently in alpha releasenouser defined functionsyes infoEvent Listeners, Executor Servicesno
Triggersyesnoyesyes infoEventsno
Partitioning methods infoMethods for storing different data on different nodesnonenonepartitioning by range, list and by hashShardingSharding
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 replicationyes infoReplicated Mapyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithmnone
Foreign keys infoReferential integrityyesno infotypically not needed, however similar functionality with collection joins possibleyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDone or two-phase-commit; repeatable reads; read commitedno
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyes, multi-version concurrency control (MVCC)yesyes
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.yesno
User concepts infoAccess controlOnly one user is configurable, and must be specified in the config file at startupnofine grained access rights according to SQL-standardRole-based access controlno
More information provided by the system vendor
DoltEJDBFujitsu Enterprise PostgresHazelcastPrometheus
Specific characteristics100% compatible with community PostgreSQL
» more
Competitive advantagesBuilt-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed...
» more
Typical application scenariosTransactional payments applications, reporting and mixed workloads.
» more
Market metricsOver 30 years experience in database technology. Over 20 years in Postgres development...
» more
Licensing and pricing modelsCore based licensing
» more

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More resources
DoltEJDBFujitsu Enterprise PostgresHazelcastPrometheus
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