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DBMS > Apache Druid vs. Datomic vs. Geode vs. Hawkular Metrics vs. ObjectBox

System Properties Comparison Apache Druid vs. Datomic vs. Geode vs. Hawkular Metrics vs. ObjectBox

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonDatomic  Xexclude from comparisonGeode  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonObjectBox  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Extremely fast embedded database for small devices, IoT and Mobile
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSKey-value storeTime Series DBMSObject oriented DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score1.92
Rank#131  Overall
#23  Key-value stores
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Websitedruid.apache.orgwww.datomic.comgeode.apache.orgwww.hawkular.orgobjectbox.io
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.datomic.comgeode.apache.org/­docswww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.objectbox.io
DeveloperApache Software Foundation and contributorsCognitectOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Community supported by Red HatObjectBox Limited
Initial release20122012200220142017
Current release29.0.1, April 20241.0.6735, June 20231.1, February 2017
License infoCommercial or Open SourceOpen Source infoApache license v2commercial infolimited edition freeOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoApache 2.0Open Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, ClojureJavaJavaC and C++
Server operating systemsLinux
OS X
Unix
All OS with a Java VMAll OS with a Java VM infothe JDK (8 or later) is also requiredLinux
OS X
Windows
Android
iOS
Linux
macOS
Windows
Data schemeyes infoschema-less columns are supportedyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonononono
Secondary indexesyesyesnonoyes
SQL infoSupport of SQLSQL for queryingnoSQL-like query language (OQL)nono
APIs and other access methodsJDBC
RESTful HTTP/JSON API
RESTful HTTP APIJava Client API
Memcached protocol
RESTful HTTP API
HTTP RESTProprietary native API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Clojure
Java
.Net
All JVM based languages
C++
Groovy
Java
Scala
Go
Java
Python
Ruby
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsuser defined functionsnono
TriggersnoBy using transaction functionsyes infoCache Event Listenersyes infovia Hawkular Alertingno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednone infoBut extensive use of caching in the application peersShardingSharding infobased on Cassandranone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnone infoBut extensive use of caching in the application peersMulti-source replicationselectable replication factor infobased on Cassandraonline/offline synchronization between client and server
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyes, on a single nodenoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentyesnono
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemnoAccess rights per client and object definablenoyes
More information provided by the system vendor
Apache DruidDatomicGeodeHawkular MetricsObjectBox
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More resources
Apache DruidDatomicGeodeHawkular MetricsObjectBox
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