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DBMS > AgensGraph vs. Apache Druid vs. EXASOL vs. Hazelcast

System Properties Comparison AgensGraph vs. Apache Druid vs. EXASOL vs. Hazelcast

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonApache Druid  Xexclude from comparisonEXASOL  Xexclude from comparisonHazelcast  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.A widely adopted in-memory data grid
Primary database modelGraph DBMS
Relational DBMS
Relational DBMS
Time Series DBMS
Relational DBMSKey-value store
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#321  Overall
#27  Graph DBMS
#143  Relational DBMS
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Websitebitnine.net/­agensgraphdruid.apache.orgwww.exasol.comhazelcast.com
Technical documentationbitnine.net/­documentationdruid.apache.org/­docs/­latest/­designwww.exasol.com/­resourceshazelcast.org/­imdg/­docs
DeveloperBitnine Global Inc.Apache Software Foundation and contributorsExasolHazelcast
Initial release2016201220002008
Current release2.1, December 201829.0.1, April 20245.3.6, November 2023
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache license v2commercialOpen Source infoApache Version 2; commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaJava
Server operating systemsLinux
OS X
Windows
Linux
OS X
Unix
All OS with a Java VM
Data schemedepending on used data modelyes infoschema-less columns are supportedyesschema-free
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.nononoyes infothe object must implement a serialization strategy
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesSQL for queryingyesSQL-like query language
APIs and other access methodsCypher Query Language
JDBC
JDBC
RESTful HTTP/JSON API
.Net
JDBC
ODBC
WebSocket
JCache
JPA
Memcached protocol
RESTful HTTP API
Supported programming languagesC
Java
JavaScript
Python
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
Java
Lua
Python
R
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresyesnouser defined functionsyes infoEvent Listeners, Executor Services
Triggersnonoyesyes infoEvents
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceSharding infomanual/auto, time-basedShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes, via HDFS, S3 or other storage enginesyes infoReplicated Map
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoHadoop integrationyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithm
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDone or two-phase-commit; repeatable reads; read commited
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.nonoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users, groups and roles according to SQL-standardRole-based access control

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More resources
AgensGraphApache DruidEXASOLHazelcast
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