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DBMS > EJDB vs. Spark SQL vs. Transbase vs. Trino vs. YottaDB

System Properties Comparison EJDB vs. Spark SQL vs. Transbase vs. Trino vs. YottaDB

Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonTransbase  Xexclude from comparisonTrino  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Spark SQL is a component on top of 'Spark Core' for structured data processingA resource-optimized, high-performance, universally applicable RDBMSFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQLA fast and solid embedded Key-value store
Primary database modelDocument storeRelational DBMSRelational DBMSRelational DBMSKey-value store
Secondary database modelsDocument store
Key-value store
Spatial DBMS
Search engine
Time Series DBMS
Wide column store
Relational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#296  Overall
#44  Document stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.17
Rank#334  Overall
#148  Relational DBMS
Score4.99
Rank#65  Overall
#36  Relational DBMS
Score0.28
Rank#306  Overall
#44  Key-value stores
Websitegithub.com/­Softmotions/­ejdbspark.apache.org/­sqlwww.transaction.de/­en/­products/­transbase.htmltrino.ioyottadb.com
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.transaction.de/­en/­products/­transbase/­features.htmltrino.io/­broadcast
trino.io/­docs/­current
yottadb.com/­resources/­documentation
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperSoftmotionsApache Software FoundationTransaction Software GmbHTrino Software FoundationYottaDB, LLC
Initial release2012201419872012 info2020 rebranded from PrestoSQL2001
Current release3.5.0 ( 2.13), September 2023Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoGPLv2Open Source infoApache 2.0commercial infofree development licenseOpen Source infoApache Version 2.0Open Source infoAGPL 3.0
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.
Starburst Galaxy offers a feature-rich user interface to connect all your data sources, manage your Trino clusters, and query your data.
Implementation languageCScalaC and C++JavaC
Server operating systemsserver-lessLinux
OS X
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Linux
macOS infofor devlopment
Docker
Linux
Data schemeschema-freeyesyesyesschema-free
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idyesyesyesno
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 indexesnonoyesdepending on connected data-sourceno
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyesyesby using the Octo plugin
APIs and other access methodsin-process shared libraryJDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
JDBC
RESTful HTTP API
Trino CLI
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
Java
Python
R
Scala
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Go
Java
JavaScript (Node.js)
Python
R
Ruby
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresnonoyesyes, depending on connected data-source
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneyes, utilizing Spark Coredepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneSource-replica replicationdepending on connected data-sourceyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencydepending on connected data-source
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possiblenoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoyesdepending on connected data-sourceoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyesyes
Durability infoSupport for making data persistentyesyesyesdepending on connected data-sourceyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlnonofine grained access rights according to SQL-standardSQL standard access controlUsers and groups based on OS-security mechanisms
More information provided by the system vendor
EJDBSpark SQLTransbaseTrinoYottaDB
Specific characteristicsTrino is the fastest open source, massively parallel processing SQL query engine...
» more
Competitive advantagesHigh performance analtyics and data processing of very large data sets Powerful ANSI...
» more
Typical application scenariosPerformant analytics query engine for data warehouses, data lakes, and data lakehouses...
» more
Key customersTrino is widely adopted across the globe as freely-available open source software....
» more
Market metrics33000+ commits in GitHub 8200+ stargazers in GitHub 1200+ pull requests merged in...
» more
Licensing and pricing modelsTrino is an open source project and usage is therefore free. Commercial offerings...
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
EJDBSpark SQLTransbaseTrinoYottaDB
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