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DBMS > EXASOL vs. Google BigQuery vs. JanusGraph vs. Microsoft SQL Server vs. Rockset

System Properties Comparison EXASOL vs. Google BigQuery vs. JanusGraph vs. Microsoft SQL Server vs. Rockset

Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonRockset  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Large scale data warehouse service with append-only tablesA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Microsofts flagship relational DBMSA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelRelational DBMSRelational DBMSGraph DBMSRelational DBMSDocument store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Relational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score824.29
Rank#3  Overall
#3  Relational DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Websitewww.exasol.comcloud.google.com/­bigqueryjanusgraph.orgwww.microsoft.com/­en-us/­sql-serverrockset.com
Technical documentationwww.exasol.com/­resourcescloud.google.com/­bigquery/­docsdocs.janusgraph.orglearn.microsoft.com/­en-US/­sql/­sql-serverdocs.rockset.com
DeveloperExasolGoogleLinux Foundation; originally developed as Titan by AureliusMicrosoftRockset
Initial release20002010201719892019
Current release0.6.3, February 2023SQL Server 2022, November 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercial inforestricted free version is availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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SQLServer Flex @ STACKIT offers a managed version of SQL Server with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
Implementation languageJavaC++C++
Server operating systemshostedLinux
OS X
Unix
Windows
Linux
Windows
hosted
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesdynamic typing
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.nononoyesno infoingestion from XML files supported
Secondary indexesyesnoyesyesall fields are automatically indexed
SQL infoSupport of SQLyesyesnoyesRead-only SQL queries, including JOINs
APIs and other access methods.Net
JDBC
ODBC
WebSocket
RESTful HTTP/JSON APIJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
HTTP REST
Supported programming languagesJava
Lua
Python
R
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Clojure
Java
Python
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functionsuser defined functions infoin JavaScriptyesTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javano
Triggersyesnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)tables can be distributed across several files (horizontal partitioning); sharding through federationAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, but depending on the SQL-Server Editionyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnoyes infovia Faunus, a graph analytics enginenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnoyes infoRelationships in graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoSince BigQuery is designed for querying dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)User authentification and security via Rexster Graph Serverfine grained access rights according to SQL-standardAccess rights for users and organizations can be defined via Rockset console

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More resources
EXASOLGoogle BigQueryJanusGraph infosuccessor of TitanMicrosoft SQL ServerRockset
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