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DBMS > CrateDB vs. Firebird vs. PostGIS vs. Raima Database Manager

System Properties Comparison CrateDB vs. Firebird vs. PostGIS vs. Raima Database Manager

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Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonFirebird  Xexclude from comparisonPostGIS  Xexclude from comparisonRaima Database Manager infoformerly named db_Vista  Xexclude from comparison
DescriptionDistributed Database based on LuceneFirebird is an open source RDBMS forked from Borland's InterBaseSpatial extension of PostgreSQLRDBMS with a small footprint, either embedded into an application or used as a database server
Primary database modelDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Relational DBMSSpatial DBMSRelational DBMS
Time Series DBMS
Secondary database modelsRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.73
Rank#229  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#8  Vector DBMS
Score21.06
Rank#31  Overall
#19  Relational DBMS
Score23.90
Rank#29  Overall
#1  Spatial DBMS
Score0.48
Rank#261  Overall
#122  Relational DBMS
#22  Time Series DBMS
Websitecratedb.comwww.firebirdsql.orgpostgis.netraima.com
Technical documentationcratedb.com/­docswww.firebirdsql.org/­en/­reference-manualspostgis.net/­documentationdocs.raima.com
DeveloperCrateFirebird FoundationRaima Inc.
Initial release20132000 infoAs fork of Borland's InterBase20051984
Current release5.0.0, January 20243.4.2, February 202415, June 2021
License infoCommercial or Open SourceOpen SourceOpen Source infoInitial Developer's Public LicenseOpen Source infoGPL v2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
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++CC
Server operating systemsAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
Android
HP-UX
Integrity RTOS
iOS
Linux
OS X
QNX
Solaris
VxWorks
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesno infoExporting/Importing of XML structures possible
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes, but no triggers and constraints, and PostgreSQL compatibilityyesyesyes
APIs and other access methodsADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
ADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
ADO.NET
JDBC
ODBC
RESTful HTTP API
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#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
.Net
C
C++
Objective-C
PL/SQL
Server-side scripts infoStored proceduresuser defined functions (Javascript)PSQLuser defined functionsyes infobased on the ANSI/ISO SQL Persistent Stored Modules (PSM) specification
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneyes infobased on PostgreSQLhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesConfigurable replication on table/partition-levelSource-replica replicationyes infobased on PostgreSQLSource-replica replication
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 ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesyesyes
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 strategyACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyes, multi-version concurrency control (MVCC)
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.nonoyes
User concepts infoAccess controlrights management via user accountsUsers with fine-grained authorization conceptyes infobased on PostgreSQLno
More information provided by the system vendor
CrateDBFirebirdPostGISRaima Database Manager infoformerly named db_Vista
Specific characteristicsThe enterprise database for time series, documents, and vectors. Distributed - Native...
» more
Raima Database Manager (RDM) is an embedded time-series database optimized to run...
» more
Competitive advantagesResponse time in milliseconds: e ven for complex ad-hoc queries. Massive scaling...
» more
Decreased time-to-market Industry-standard interfaces & tools for making your job...
» more
Typical application scenarios​ IoT: accelerate your IIoT projects with CrateDB, delivering real-time analytics...
» more
Typical use cases include: Internet of Things (IoT) Embedded In-Memory Database Time-Series...
» more
Key customersAcross all continents, CrateDB is used by companies of all sizes to meet the most...
» more
Infor, ABB, The Boeing Company, BAE Systems, Dow Jones, Dun & Bradstreet, Fujitsu,...
» more
Market metricsThe CrateDB open source project was started in 2013 Honorable Mention in 2021 Gartner®...
» more
Over 30 000 applications developers worldwide have field-tested RDM products More...
» more
Licensing and pricing modelsSee CrateDB pricing >
» more
Just as the technical aspects of Raima Database Manager are flexible, so are the...
» more
News

Raima Unveils RaimaDB 16.0: Elevating Database Performance and User Experience
29 February 2024

Raima Announces Release of Raima Database Manager (RDM) v15, a Powerful Embedded Time Series Database
10 June 2021

Raima Announces Release of Raima Database Manager (RDM) v14.2, a Powerful IoT Edge Embedded Database
8 October 2020

Raima Joins BlackBerry QNX Channel Partner Program to Deliver Safety-Critical and Secure Software Solutions
1 October 2020

Raima Expands Their Reseller Network in Asia
19 May 2020

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
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