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DBMS > Datomic vs. Graphite vs. GridGain vs. Hawkular Metrics vs. Hazelcast

System Properties Comparison Datomic vs. Graphite vs. GridGain vs. Hawkular Metrics vs. Hazelcast

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonGraphite  Xexclude from comparisonGridGain  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonHazelcast  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperGridGain is an in-memory computing platform, built on Apache IgniteHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A widely adopted in-memory data grid
Primary database modelRelational DBMSTime Series DBMSKey-value store
Relational DBMS
Time Series 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
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score4.57
Rank#73  Overall
#5  Time Series DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Websitewww.datomic.comgithub.com/­graphite-project/­graphite-webwww.gridgain.comwww.hawkular.orghazelcast.com
Technical documentationdocs.datomic.comgraphite.readthedocs.iowww.gridgain.com/­docs/­index.htmlwww.hawkular.org/­hawkular-metrics/­docs/­user-guidehazelcast.org/­imdg/­docs
DeveloperCognitectChris DavisGridGain Systems, Inc.Community supported by Red HatHazelcast
Initial release20122006200720142008
Current release1.0.6735, June 2023GridGain 8.5.15.3.6, November 2023
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoApache 2.0commercialOpen Source infoApache 2.0Open Source infoApache Version 2; commercial licenses available
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 languageJava, ClojurePythonJava, C++, .NetJavaJava
Server operating systemsAll OS with a Java VMLinux
Unix
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
All OS with a Java VM
Data schemeyesyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesNumeric data onlyyesyesyes
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.nonoyesnoyes infothe object must implement a serialization strategy
Secondary indexesyesnoyesnoyes
SQL infoSupport of SQLnonoANSI-99 for query and DML statements, subset of DDLnoSQL-like query language
APIs and other access methodsRESTful HTTP APIHTTP API
Sockets
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP RESTJCache
JPA
Memcached protocol
RESTful HTTP API
Supported programming languagesClojure
Java
JavaScript (Node.js)
Python
C#
C++
Java
PHP
Python
Ruby
Scala
Go
Java
Python
Ruby
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresyes infoTransaction Functionsnoyes (compute grid and cache interceptors can be used instead)noyes infoEvent Listeners, Executor Services
TriggersBy using transaction functionsnoyes (cache interceptors and events)yes infovia Hawkular Alertingyes infoEvents
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersnoneShardingSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersnoneyes (replicated cache)selectable replication factor infobased on Cassandrayes infoReplicated Map
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)noyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithm
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnoone or two-phase-commit; repeatable reads; read commited
Concurrency infoSupport for concurrent manipulation of datayesyes infolockingyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyesnoyes
User concepts infoAccess controlnonoSecurity Hooks for custom implementationsnoRole-based access control

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DatomicGraphiteGridGainHawkular MetricsHazelcast
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