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DBMS > JanusGraph vs. Microsoft Azure Synapse Analytics vs. NSDb vs. Trino

System Properties Comparison JanusGraph vs. Microsoft Azure Synapse Analytics vs. NSDb vs. Trino

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Editorial information provided by DB-Engines
NameJanusGraph infosuccessor of Titan  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonNSDb  Xexclude from comparisonTrino  Xexclude from comparison
DescriptionA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelGraph DBMSRelational DBMSTime Series DBMSRelational 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
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score5.00
Rank#66  Overall
#36  Relational DBMS
Websitejanusgraph.orgazure.microsoft.com/­services/­synapse-analyticsnsdb.iotrino.io
Technical documentationdocs.janusgraph.orgdocs.microsoft.com/­azure/­synapse-analyticsnsdb.io/­Architecturetrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperLinux Foundation; originally developed as Titan by AureliusMicrosoftTrino Software Foundation
Initial release2017201620172012 info2020 rebranded from PrestoSQL
Current release0.6.3, February 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache Version 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
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 languageJavaC++Java, ScalaJava
Server operating systemsLinux
OS X
Unix
Windows
hostedLinux
macOS
Linux
macOS infofor devlopment
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes: int, bigint, decimal, stringyes
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 indexesyesyesall fields are automatically indexeddepending on connected data-source
SQL infoSupport of SQLnoyesSQL-like query languageyes
APIs and other access methodsJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
ADO.NET
JDBC
ODBC
gRPC
HTTP REST
WebSocket
JDBC
RESTful HTTP API
Trino CLI
Supported programming languagesClojure
Java
Python
C#
Java
PHP
Java
Scala
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresyesTransact SQLnoyes, depending on connected data-source
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding, horizontal partitioningShardingdepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesdepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infovia Faunus, a graph analytics enginenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyEventual Consistencydepending on connected data-source
Foreign keys infoReferential integrityyes infoRelationships in graphsno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnodepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, HazelcastyesUsing Apache Lucenedepending on connected data-source
User concepts infoAccess controlUser authentification and security via Rexster Graph ServeryesSQL standard access control
More information provided by the system vendor
JanusGraph infosuccessor of TitanMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseNSDbTrino
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...
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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...
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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
JanusGraph infosuccessor of TitanMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseNSDbTrino
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