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DBMS > Apache Druid vs. CouchDB vs. CrateDB vs. FoundationDB vs. SAP Adaptive Server

System Properties Comparison Apache Druid vs. CouchDB vs. CrateDB vs. FoundationDB vs. SAP Adaptive Server

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonCrateDB  Xexclude from comparisonFoundationDB  Xexclude from comparisonSAP Adaptive Server infoformer name: Sybase ASE  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.Distributed Database based on LuceneOrdered key-value store. Core features are complimented by layers.The SAP (Sybase) Adaptive Server Enterprise (ASE) is an enterprise-class RDBMS
Primary database modelRelational DBMS
Time Series DBMS
Document storeDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Document store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMS
Secondary database modelsSpatial DBMS infousing the Geocouch extensionRelational DBMSSpatial DBMS infowith Boeing's Spatial Query Server
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
Score9.30
Rank#45  Overall
#7  Document stores
Score0.73
Rank#224  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#8  Vector DBMS
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score36.31
Rank#25  Overall
#17  Relational DBMS
Websitedruid.apache.orgcouchdb.apache.orgcratedb.comgithub.com/­apple/­foundationdbwww.sap.com/­products/­technology-platform/­sybase-ase.html
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.couchdb.org/­en/­stablecratedb.com/­docsapple.github.io/­foundationdbhelp.sap.com/­docs/­SAP_ASE
DeveloperApache Software Foundation and contributorsApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerCrateFoundationDBSAP, Sybase
Initial release20122005201320131987
Current release29.0.1, April 20243.3.3, December 20236.2.28, November 202016.0
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache version 2Open SourceOpen Source infoApache 2.0commercial
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 languageJavaErlangJavaC++C and C++
Server operating systemsLinux
OS X
Unix
Android
BSD
Linux
OS X
Solaris
Windows
All Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportLinux
OS X
Windows
AIX
HP-UX
Linux
Solaris
Unix
Windows
Data schemeyes infoschema-less columns are supportedschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-free infosome layers support schemasyes
Typing infopredefined data types such as float or dateyesnoyesno infosome layers support typingyes
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.nononono
Secondary indexesyesyes infovia viewsyesnoyes
SQL infoSupport of SQLSQL for queryingnoyes, but no triggers and constraints, and PostgreSQL compatibilitysupported in specific SQL layer onlyyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
RESTful HTTP/JSON APIADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
.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++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C
C++
Cobol
Java
Java
Perl
PHP
Python
Server-side scripts infoStored proceduresnoView functions in JavaScriptuser defined functions (Javascript)in SQL-layer onlyJava and Transact-SQL
Triggersnoyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding infoimproved architecture with release 2.0ShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesMulti-source replication
Source-replica replication
Configurable replication on table/partition-levelyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Read-after-write consistency on record level
Linearizable consistencyImmediate Consistency
Foreign keys infoReferential integritynononoin SQL-layer onlyyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoatomic operations within a single document possibleno infounique row identifiers can be used for implementing an optimistic concurrency control strategyACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infostrategy: optimistic lockingyesyesyes
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.nonono
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users can be defined per databaserights management via user accountsnofine grained access rights according to SQL-standard
More information provided by the system vendor
Apache DruidCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"CrateDBFoundationDBSAP Adaptive Server infoformer name: Sybase ASE
Specific characteristicsThe enterprise database for time series, documents, and vectors. Distributed - Native...
» more
Competitive advantagesResponse time in milliseconds: e ven for complex ad-hoc queries. Massive scaling...
» more
Typical application scenarios​ IoT: accelerate your IIoT projects with CrateDB, delivering real-time analytics...
» 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

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Apache DruidCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"CrateDBFoundationDBSAP Adaptive Server infoformer name: Sybase ASE
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