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DBMS > ObjectBox vs. Pinecone vs. Splice Machine vs. Trino vs. Yanza

System Properties Comparison ObjectBox vs. Pinecone vs. Splice Machine vs. Trino vs. Yanza

Editorial information provided by DB-Engines
NameObjectBox  Xexclude from comparisonPinecone  Xexclude from comparisonSplice Machine  Xexclude from comparisonTrino  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionExtremely fast embedded database for small devices, IoT and MobileA managed, cloud-native vector databaseOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQLTime Series DBMS for IoT Applications
Primary database modelObject oriented DBMSVector DBMSRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsTime Series 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
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Score3.23
Rank#92  Overall
#2  Vector DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score4.99
Rank#65  Overall
#36  Relational DBMS
Websiteobjectbox.iowww.pinecone.iosplicemachine.comtrino.ioyanza.com
Technical documentationdocs.objectbox.iodocs.pinecone.io/­docs/­overviewsplicemachine.com/­how-it-workstrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperObjectBox LimitedPinecone Systems, IncSplice MachineTrino Software FoundationYanza
Initial release2017201920142012 info2020 rebranded from PrestoSQL2015
Current release3.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen Source infoAGPL 3.0, commercial license availableOpen Source infoApache Version 2.0commercial infofree version available
Cloud-based only infoOnly available as a cloud servicenoyesnonono infobut mainly used as a service provided by Yanza
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 languageC and C++JavaJava
Server operating systemsAndroid
iOS
Linux
macOS
Windows
hostedLinux
OS X
Solaris
Windows
Linux
macOS infofor devlopment
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesString, Number, Booleanyesyesno
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 indexesyesyesdepending on connected data-sourceno
SQL infoSupport of SQLnonoyesyesno
APIs and other access methodsProprietary native APIRESTful HTTP APIJDBC
Native Spark Datasource
ODBC
JDBC
RESTful HTTP API
Trino CLI
HTTP API
Supported programming languagesC
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
PythonC#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Go
Java
JavaScript (Node.js)
Python
R
Ruby
any language that supports HTTP calls
Server-side scripts infoStored proceduresnoyes infoJavayes, depending on connected data-sourceno
Triggersnoyesnoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesnoneShared Nothhing Auto-Sharding, Columnar Partitioningdepending on connected data-sourcenone
Replication methods infoMethods for redundantly storing data on multiple nodesonline/offline synchronization between client and serverMulti-source replication
Source-replica replication
depending on connected data-sourcenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistencydepending on connected data-sourceImmediate Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDdepending on connected data-sourceno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
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 controlyesAccess rights for users, groups and roles according to SQL-standardSQL standard access controlno
More information provided by the system vendor
ObjectBoxPineconeSplice MachineTrinoYanza
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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