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DBMS > CrateDB vs. GridGain vs. Hawkular Metrics vs. Riak KV

System Properties Comparison CrateDB vs. GridGain vs. Hawkular Metrics vs. Riak KV

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Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonGridGain  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionDistributed Database based on LuceneGridGain 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.Distributed, fault tolerant key-value store
Primary database modelDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Columnar
Key-value store
Object oriented DBMS
Relational DBMS
Time Series DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.69
Rank#226  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#11  Vector DBMS
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score0.01
Rank#377  Overall
#39  Time Series DBMS
Score3.84
Rank#76  Overall
#9  Key-value stores
Websitecratedb.comwww.gridgain.comwww.hawkular.org
Technical documentationcratedb.com/­docswww.gridgain.com/­docs/­index.htmlwww.hawkular.org/­hawkular-metrics/­docs/­user-guidewww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperCrateGridGain Systems, Inc.Community supported by Red HatOpenSource, formerly Basho Technologies
Initial release2013200720142009
Current release5.8.1, August 2024GridGain 8.5.13.2.0, December 2022
License infoCommercial or Open SourceOpen Sourcecommercial, open sourceOpen Source infoApache 2.0Open Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, C++, .Net, Python, REST, SQLJavaErlang
Server operating systemsAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportLinux
OS X
Solaris
Windows
z/OS
Linux
OS X
Windows
Linux
OS X
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.noyesnono
Secondary indexesyesyesnorestricted
SQL infoSupport of SQLyes, but no triggers and constraints, and PostgreSQL compatibilityANSI-99 for query and DML statements, subset of DDLnono
APIs and other access methodsADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP RESTHTTP API
Native Erlang Interface
Supported programming languages.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
C#
C++
Java
PHP
Python
Ruby
Scala
Go
Java
Python
Ruby
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresuser defined functions (Javascript)yes (compute grid and cache interceptors can be used instead)noErlang
Triggersnoyes (cache interceptors and events)yes infovia Hawkular Alertingyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infobased on CassandraSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesConfigurable replication on table/partition-levelyes (replicated cache)selectable replication factor infobased on Cassandraselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)noyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Read-after-write consistency on record level
Immediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Foreign keys infoReferential integritynononono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infounique row identifiers can be used for implementing an optimistic concurrency control strategyACIDnono
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.noyesno
User concepts infoAccess controlrights management via user accountsRole-based access control
Security Hooks for custom implementations
noyes, using Riak Security

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More resources
CrateDBGridGainHawkular MetricsRiak KV
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