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DBMS > Badger vs. EXASOL vs. Hazelcast vs. OpenMLDB

System Properties Comparison Badger vs. EXASOL vs. Hazelcast vs. OpenMLDB

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonEXASOL  Xexclude from comparisonHazelcast  Xexclude from comparisonOpenMLDB  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.High-performance, in-memory, MPP database specifically designed for in-memory analytics.A widely adopted in-memory data gridAn open-source machine learning database that provides a feature platform for training and inference
Primary database modelKey-value storeRelational DBMSKey-value storeTime Series DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#328  Overall
#48  Key-value stores
Score1.66
Rank#138  Overall
#64  Relational DBMS
Score5.72
Rank#59  Overall
#6  Key-value stores
Score0.11
Rank#339  Overall
#30  Time Series DBMS
Websitegithub.com/­dgraph-io/­badgerwww.exasol.comhazelcast.comopenmldb.ai
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerwww.exasol.com/­resourceshazelcast.org/­imdg/­docsopenmldb.ai/­docs/­zh/­main
DeveloperDGraph LabsExasolHazelcast4 Paradigm Inc.
Initial release2017200020082020
Current release5.3.6, November 20232024-2 February 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache Version 2; commercial licenses availableOpen Source
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++, Java, Scala
Server operating systemsBSD
Linux
OS X
Solaris
Windows
All OS with a Java VMLinux
Data schemeschema-freeyesschema-freeFixed schema
Typing infopredefined data types such as float or datenoyesyesyes
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.nonoyes infothe object must implement a serialization strategyno
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoyesSQL-like query languageyes
APIs and other access methods.Net
JDBC
ODBC
WebSocket
JCache
JPA
Memcached protocol
RESTful HTTP API
JDBC
SQLAlchemy
Supported programming languagesGoJava
Lua
Python
R
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C++
Go
Java
Python
Scala
Server-side scripts infoStored proceduresnouser defined functionsyes infoEvent Listeners, Executor Servicesno
Triggersnoyesyes infoEventsno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoReplicated MapSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDone or two-phase-commit; repeatable reads; read commitedno
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.noyesyesyes
User concepts infoAccess controlnoAccess rights for users, groups and roles according to SQL-standardRole-based access controlfine grained access rights according to SQL-standard

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BadgerEXASOLHazelcastOpenMLDB
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