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DBMS > CrateDB vs. GigaSpaces vs. HBase vs. Memgraph vs. Riak TS

System Properties Comparison CrateDB vs. GigaSpaces vs. HBase vs. Memgraph vs. Riak TS

Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonGigaSpaces  Xexclude from comparisonHBase  Xexclude from comparisonMemgraph  Xexclude from comparisonRiak TS  Xexclude from comparison
DescriptionDistributed Database based on LuceneHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsWide-column store based on Apache Hadoop and on concepts of BigTableAn open source graph database built for real-time streaming and compatible with Neo4jRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KV
Primary database modelDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Document store
Object oriented DBMS infoValues are user defined objects
Wide column storeGraph DBMSTime Series DBMS
Secondary database modelsRelational DBMSGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.73
Rank#224  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#8  Vector DBMS
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score3.02
Rank#98  Overall
#8  Graph DBMS
Score0.20
Rank#319  Overall
#27  Time Series DBMS
Websitecratedb.comwww.gigaspaces.comhbase.apache.orgmemgraph.com
Technical documentationcratedb.com/­docsdocs.gigaspaces.com/­latest/­landing.htmlhbase.apache.org/­book.htmlmemgraph.com/­docswww.tiot.jp/­riak-docs/­riak/­ts/­latest
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperCrateGigaspaces TechnologiesApache Software Foundation infoApache top-level project, originally developed by PowersetMemgraph LtdOpen Source, formerly Basho Technologies
Initial release20132000200820172015
Current release15.5, September 20202.3.4, January 20213.0.0, September 2022
License infoCommercial or Open SourceOpen SourceOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoApache version 2Open Source infoBSL 1.1; commercial license for enterprise edition availableOpen Source
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.
CrateDB Cloud: a distributed SQL database that spreads data and processing across an elastic cluster of shared nothing nodes. CrateDB Cloud enables data insights at scale on Microsoft Azure, AWS and Google Cloud Platform.
Implementation languageJavaJava, C++, .NetJavaC and C++Erlang
Server operating systemsAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportLinux
macOS
Solaris
Windows
Linux
Unix
Windows infousing Cygwin
LinuxLinux
OS X
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-free, schema definition possibleschema-free and schema-optionalschema-free
Typing infopredefined data types such as float or dateyesyesoptions to bring your own types, AVROyesno
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.nono infoXML can be used for describing objects metadatanonono
Secondary indexesyesyesnorestricted
SQL infoSupport of SQLyes, but no triggers and constraints, and PostgreSQL compatibilitySQL-99 for query and DML statementsnonoyes, limited
APIs and other access methodsADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Java API
RESTful HTTP API
Thrift
Bolt protocol
Cypher query language
HTTP 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
.Net
C++
Java
Python
Scala
C
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
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)yesyes infoCoprocessors in JavaErlang
Triggersnoyes, event driven architectureyesyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infodynamic graph partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesConfigurable replication on table/partition-levelMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Multi-source replication
Source-replica replication
Multi-source replication using RAFTselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Read-after-write consistency on record level
Immediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency or Eventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononoyes inforelationships in graphsno infolinks between datasets 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 strategyACIDSingle row ACID (across millions of columns)ACID infowith snapshot isolationno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlrights management via user accountsRole-based access controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACUsers, roles and permissionsno
More information provided by the system vendor
CrateDBGigaSpacesHBaseMemgraphRiak TS
Specific characteristicsThe enterprise database for time series, documents, and vectors. Distributed - Native...
» more
Memgraph directly connects to your streaming infrastructure so you and your team...
» more
Competitive advantagesResponse time in milliseconds: e ven for complex ad-hoc queries. Massive scaling...
» more
Business Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Typical application scenarios​ IoT: accelerate your IIoT projects with CrateDB, delivering real-time analytics...
» more
Graph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Key customersAcross all continents, CrateDB is used by companies of all sizes to meet the most...
» more
Market metricsThe CrateDB open source project was started in 2013 Honorable Mention in 2021 Gartner®...
» more
Licensing and pricing modelsSee CrateDB pricing >
» more
You can check out our pricing model and licenses on the company website .
» more

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More resources
CrateDBGigaSpacesHBaseMemgraphRiak TS
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