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DBMS > EDB Postgres vs. Firebolt vs. Google Cloud Bigtable vs. Trino

System Properties Comparison EDB Postgres vs. Firebolt vs. Google Cloud Bigtable vs. Trino

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Editorial information provided by DB-Engines
NameEDB Postgres  Xexclude from comparisonFirebolt  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonTrino  Xexclude from comparison
DescriptionThe EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options and Oracle compatibility features, complemented by tool kits for management, integration, and migration.Highly scalable cloud data warehouse and analytics product infoForked from ClickhouseGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Fast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelRelational DBMSRelational DBMSKey-value store
Wide column store
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Key-value store
Spatial DBMS
Search engine
Time Series DBMS
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.86
Rank#131  Overall
#61  Relational DBMS
Score1.49
Rank#148  Overall
#68  Relational DBMS
Score2.97
Rank#92  Overall
#15  Key-value stores
#8  Wide column stores
Score5.28
Rank#61  Overall
#35  Relational DBMS
Websitewww.enterprisedb.comwww.firebolt.iocloud.google.com/­bigtabletrino.io
Technical documentationwww.enterprisedb.com/­docsdocs.firebolt.iocloud.google.com/­bigtable/­docstrino.io/­broadcast
trino.io/­docs/­current
DeveloperEnterpriseDBFirebolt Analytics Inc.GoogleTrino Software Foundation
Initial release2005202020152012 info2020 rebranded from PrestoSQL
Current release14, December 2021
License infoCommercial or Open Sourcecommercial infoBSD for PostgreSQL-componentscommercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJava
Server operating systemsLinux
Windows
hostedhostedLinux
macOS infofor devlopment
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.yes infospecific XML-type available, but no XML query functionality.nono
Secondary indexesyesyesnodepending on connected data-source
SQL infoSupport of SQLyes infostandard with numerous extensionsyesnoyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
.Net
ODBC
RESTful HTTP API
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
RESTful HTTP API
Trino CLI
Supported programming languages.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
Go
JavaScript (Node.js)
Python
C#
C++
Go
Java
JavaScript (Node.js)
Python
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.nonoyes, depending on connected data-source
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoby hash, list or rangeShardingdepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationdepending on storage layerInternal replication in Colossus, and regional replication between two clusters in different zonesdepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)depending on connected data-source
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-row operationsdepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesdepending on connected data-source
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)SQL standard access control
More information provided by the system vendor
EDB PostgresFireboltGoogle Cloud BigtableTrino
News

23 is a go, keeping pace with Java
17 September 2024

65: Performance boosts
12 September 2024

64: Control with Open Policy Agent OPA
22 August 2024

63: Querying with JS
1 August 2024

62: A lakehouse that simply works at Prezi
11 July 2024

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More resources
EDB PostgresFireboltGoogle Cloud BigtableTrino
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