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DBMS > CrateDB vs. FoundationDB vs. Hive vs. Microsoft Access vs. Trino

System Properties Comparison CrateDB vs. FoundationDB vs. Hive vs. Microsoft Access vs. Trino

Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonFoundationDB  Xexclude from comparisonHive  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonTrino  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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 LuceneOrdered key-value store. Core features are complimented by layers.data warehouse software for querying and managing large distributed datasets, built on HadoopMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)Fast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelDocument 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 DBMSRelational DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument 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
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
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score5.00
Rank#66  Overall
#36  Relational DBMS
Websitecratedb.comgithub.com/­apple/­foundationdbhive.apache.orgwww.microsoft.com/­en-us/­microsoft-365/­accesstrino.io
Technical documentationcratedb.com/­docsapple.github.io/­foundationdbcwiki.apache.org/­confluence/­display/­Hive/­Homedeveloper.microsoft.com/­en-us/­accesstrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperCrateFoundationDBApache Software Foundation infoinitially developed by FacebookMicrosoftTrino Software Foundation
Initial release20132013201219922012 info2020 rebranded from PrestoSQL
Current release6.2.28, November 20203.1.3, April 20221902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen SourceOpen Source infoApache 2.0Open Source infoApache Version 2commercial infoBundled with Microsoft OfficeOpen Source infoApache Version 2.0
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.Starburst Galaxy offers a feature-rich user interface to connect all your data sources, manage your Trino clusters, and query your data.
Implementation languageJavaC++JavaC++Java
Server operating systemsAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportLinux
OS X
Windows
All OS with a Java VMWindows infoNot a real database server, but making use of DLLsLinux
macOS infofor devlopment
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-free infosome layers support schemasyesyesyes
Typing infopredefined data types such as float or dateyesno infosome layers support typingyesyesyes
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
Secondary indexesyesnoyesyesdepending on connected data-source
SQL infoSupport of SQLyes, but no triggers and constraints, and PostgreSQL compatibilitysupported in specific SQL layer onlySQL-like DML and DDL statementsyes infobut not compliant to any SQL standardyes
APIs and other access methodsADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
JDBC
ODBC
Thrift
ADO.NET
DAO
ODBC
OLE DB
JDBC
RESTful HTTP API
Trino CLI
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++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C++
Java
PHP
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresuser defined functions (Javascript)in SQL-layer onlyyes infouser defined functions and integration of map-reduceyes infosince Access 2010 using the ACE-engineyes, depending on connected data-source
Triggersnononoyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnonedepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesConfigurable replication on table/partition-levelyesselectable replication factornonedepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Read-after-write consistency on record level
Linearizable consistencyEventual Consistencydepending on connected data-source
Foreign keys infoReferential integritynoin SQL-layer onlynoyesno
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 strategyACIDnoACID infobut no files for transaction loggingdepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infobut no files for transaction loggingdepending on connected data-source
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlrights management via user accountsnoAccess rights for users, groups and rolesno infoa simple user-level security was built in till version Access 2003SQL standard access control
More information provided by the system vendor
CrateDBFoundationDBHiveMicrosoft AccessTrino
Specific characteristicsThe enterprise database for time series, documents, and vectors. Distributed - Native...
» more
Trino is the fastest open source, massively parallel processing SQL query engine...
» more
Competitive advantagesResponse time in milliseconds: e ven for complex ad-hoc queries. Massive scaling...
» more
High performance analtyics and data processing of very large data sets Powerful ANSI...
» more
Typical application scenarios​ IoT: accelerate your IIoT projects with CrateDB, delivering real-time analytics...
» more
Performant analytics query engine for data warehouses, data lakes, and data lakehouses...
» more
Key customersAcross all continents, CrateDB is used by companies of all sizes to meet the most...
» more
Trino is widely adopted across the globe as freely-available open source software....
» more
Market metricsThe CrateDB open source project was started in 2013 Honorable Mention in 2021 Gartner®...
» more
33000+ commits in GitHub 8200+ stargazers in GitHub 1200+ pull requests merged in...
» more
Licensing and pricing modelsSee CrateDB pricing >
» more
Trino is an open source project and usage is therefore free. Commercial offerings...
» more
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