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DBMS > CrateDB vs. eXtremeDB vs. FoundationDB vs. GBase vs. RRDtool

System Properties Comparison CrateDB vs. eXtremeDB vs. FoundationDB vs. GBase vs. RRDtool

Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisoneXtremeDB  Xexclude from comparisonFoundationDB  Xexclude from comparisonGBase  Xexclude from comparisonRRDtool  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionDistributed Database based on LuceneNatively in-memory DBMS with options for persistency, high-availability and clusteringOrdered key-value store. Core features are complimented by layers.Widely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Industry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.
Primary database modelDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Relational DBMS
Time Series DBMS
Document store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMSTime Series DBMS
Secondary database modelsRelational DBMS
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
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score1.07
Rank#185  Overall
#86  Relational DBMS
Score1.87
Rank#136  Overall
#11  Time Series DBMS
Websitecratedb.comwww.mcobject.comgithub.com/­apple/­foundationdbwww.gbase.cnoss.oetiker.ch/­rrdtool
Technical documentationcratedb.com/­docswww.mcobject.com/­docs/­extremedb.htmapple.github.io/­foundationdboss.oetiker.ch/­rrdtool/­doc
DeveloperCrateMcObjectFoundationDBGeneral Data Technology Co., Ltd.Tobias Oetiker
Initial release20132001201320041999
Current release8.2, 20216.2.28, November 2020GBase 8a, GBase 8s, GBase 8c1.8.0, 2022
License infoCommercial or Open SourceOpen SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoGPL V2 and FLOSS
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 languageJavaC and C++C++C, Java, PythonC infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemsAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportAIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
OS X
Windows
LinuxHP-UX
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-free infosome layers support schemasyesyes
Typing infopredefined data types such as float or dateyesyesno infosome layers support typingyesNumeric data only
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 infosupport of XML interfaces availableyesno infoExporting into and restoring from XML files possible
Secondary indexesyesyesnoyesno
SQL infoSupport of SQLyes, but no triggers and constraints, and PostgreSQL compatibilityyes infowith the option: eXtremeSQLsupported in specific SQL layer onlyStandard with numerous extensionsno
APIs and other access methodsADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
ADO.NET
C API
JDBC
ODBC
in-process shared library
Pipes
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
C#
C++
Java
Lua
Python
Scala
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C#C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions (Javascript)yesin SQL-layer onlyuser defined functionsno
Triggersnoyes infoby defining eventsnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning / shardingShardinghorizontal partitioning (by range, list and hash) and vertical partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesConfigurable replication on table/partition-levelActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
yesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Read-after-write consistency on record level
Immediate ConsistencyLinearizable consistencyImmediate Consistencynone
Foreign keys infoReferential integritynoyesin SQL-layer onlyyesno
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 strategyACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyesyes infoby using the rrdcached daemon
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlrights management via user accountsnoyesno
More information provided by the system vendor
CrateDBeXtremeDBFoundationDBGBaseRRDtool
Specific characteristicsThe enterprise database for time series, documents, and vectors. Distributed - Native...
» more
eXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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Competitive advantagesResponse time in milliseconds: e ven for complex ad-hoc queries. Massive scaling...
» more
eXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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Typical application scenarios​ IoT: accelerate your IIoT projects with CrateDB, delivering real-time analytics...
» more
IoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
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Key customersAcross all continents, CrateDB is used by companies of all sizes to meet the most...
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Schneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsThe CrateDB open source project was started in 2013 Honorable Mention in 2021 Gartner®...
» more
With hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsSee CrateDB pricing >
» more
For server use cases, there is a simple per-server license irrespective of the number...
» more

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CrateDBeXtremeDBFoundationDBGBaseRRDtool
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