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DBMS > Apache Impala vs. Realm vs. Splice Machine vs. TinkerGraph vs. Trino

System Properties Comparison Apache Impala vs. Realm vs. Splice Machine vs. TinkerGraph vs. Trino

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonRealm  Xexclude from comparisonSplice Machine  Xexclude from comparisonTinkerGraph  Xexclude from comparisonTrino  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 APIFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelRelational DBMSDocument storeRelational DBMSGraph DBMSRelational DBMS
Secondary database modelsDocument storeDocument 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
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score0.08
Rank#348  Overall
#35  Graph DBMS
Score5.00
Rank#66  Overall
#36  Relational DBMS
Websiteimpala.apache.orgrealm.iosplicemachine.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlintrino.io
Technical documentationimpala.apache.org/­impala-docs.htmlrealm.io/­docssplicemachine.com/­how-it-workstrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaRealm, acquired by MongoDB in May 2019Splice MachineTrino Software Foundation
Initial release20132014201420092012 info2020 rebranded from PrestoSQL
Current release4.1.0, June 20223.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2Open SourceOpen Source infoAGPL 3.0, commercial license availableOpen Source infoApache 2.0Open 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.
Starburst Galaxy offers a feature-rich user interface to connect all your data sources, manage your Trino clusters, and query your data.
Implementation languageC++JavaJavaJava
Server operating systemsLinuxAndroid
Backend: server-less
iOS
Windows
Linux
OS X
Solaris
Windows
Linux
macOS infofor devlopment
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 indexesyesyesyesnodepending on connected data-source
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyesnoyes
APIs and other access methodsJDBC
ODBC
JDBC
Native Spark Datasource
ODBC
TinkerPop 3JDBC
RESTful HTTP API
Trino CLI
Supported programming languagesAll languages supporting JDBC/ODBC.Net
Java infowith Android only
Objective-C
React Native
Swift
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Groovy
Java
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceno inforuns within the applications so server-side scripts are unnecessaryyes infoJavanoyes, depending on connected data-source
Triggersnoyes infoChange Listenersyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShared Nothhing Auto-Sharding, Columnar Partitioningnonedepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneMulti-source replication
Source-replica replication
nonedepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenoYes, via Full Spark Integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistencynonedepending on connected data-source
Foreign keys infoReferential integritynonoyesyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnodepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)noyes
Durability infoSupport for making data persistentyesyesyesoptionaldepending on connected data-source
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoIn-Memory realmyesyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosyesAccess rights for users, groups and roles according to SQL-standardnoSQL standard access control
More information provided by the system vendor
Apache ImpalaRealmSplice MachineTinkerGraphTrino
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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More resources
Apache ImpalaRealmSplice MachineTinkerGraphTrino
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