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DBMS > Splice Machine vs. ToroDB vs. Trino vs. VelocityDB

System Properties Comparison Splice Machine vs. ToroDB vs. Trino vs. VelocityDB

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Editorial information provided by DB-Engines
NameSplice Machine  Xexclude from comparisonToroDB  Xexclude from comparisonTrino  Xexclude from comparisonVelocityDB  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA MongoDB-compatible JSON document store, built on top of PostgreSQLFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQLA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelRelational DBMSDocument storeRelational DBMSGraph DBMS
Object oriented DBMS
Secondary database modelsDocument 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
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score5.00
Rank#66  Overall
#36  Relational DBMS
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websitesplicemachine.comgithub.com/­torodb/­servertrino.iovelocitydb.com
Technical documentationsplicemachine.com/­how-it-workstrino.io/­broadcast
trino.io/­docs/­current
velocitydb.com/­UserGuide
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperSplice Machine8KdataTrino Software FoundationVelocityDB Inc
Initial release201420162012 info2020 rebranded from PrestoSQL2011
Current release3.1, March 20217.x
License infoCommercial or Open SourceOpen Source infoAGPL 3.0, commercial license availableOpen Source infoAGPL-V3Open Source infoApache Version 2.0commercial
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.
Starburst Galaxy offers a feature-rich user interface to connect all your data sources, manage your Trino clusters, and query your data.
Implementation languageJavaJavaJavaC#
Server operating systemsLinux
OS X
Solaris
Windows
All OS with a Java 7 VMLinux
macOS infofor devlopment
Any that supports .NET
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, boolean, date, object_idyesyes
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.nonono
Secondary indexesyesdepending on connected data-sourceyes
SQL infoSupport of SQLyesyesno
APIs and other access methodsJDBC
Native Spark Datasource
ODBC
JDBC
RESTful HTTP API
Trino CLI
.Net
Supported programming languagesC#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Go
Java
JavaScript (Node.js)
Python
R
Ruby
.Net
Server-side scripts infoStored proceduresyes infoJavayes, depending on connected data-sourceno
TriggersyesnonoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesShared Nothhing Auto-Sharding, Columnar PartitioningShardingdepending on connected data-sourceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationdepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsYes, via Full Spark Integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
depending on connected data-sourceImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnodepending on connected data-sourceACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesdepending on connected data-sourceyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardAccess rights for users and rolesSQL standard access controlBased on Windows Authentication
More information provided by the system vendor
Splice MachineToroDBTrinoVelocityDB
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
News

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22 May 2024

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8 May 2024

59: Querying Trino with Java and jOOQ
24 April 2024

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Time travel in Delta Lake connector
11 April 2024

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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
Splice MachineToroDBTrinoVelocityDB
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