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DBMS > Apache IoTDB vs. HugeGraph vs. Infobright vs. Microsoft Azure Synapse Analytics vs. SAP Adaptive Server

System Properties Comparison Apache IoTDB vs. HugeGraph vs. Infobright vs. Microsoft Azure Synapse Analytics vs. SAP Adaptive Server

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonHugeGraph  Xexclude from comparisonInfobright  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSAP Adaptive Server infoformer name: Sybase ASE  Xexclude from comparison
DescriptionAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkA fast-speed and highly-scalable Graph DBMSHigh performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerThe SAP (Sybase) Adaptive Server Enterprise (ASE) is an enterprise-class RDBMS
Primary database modelTime Series DBMSGraph DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS infowith Boeing's Spatial Query Server
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score1.02
Rank#192  Overall
#90  Relational DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score35.09
Rank#25  Overall
#17  Relational DBMS
Websiteiotdb.apache.orggithub.com/­hugegraph
hugegraph.apache.org
ignitetech.com/­softwarelibrary/­infobrightdbazure.microsoft.com/­services/­synapse-analyticswww.sap.com/­products/­technology-platform/­sybase-ase.html
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlhugegraph.apache.org/­docsdocs.microsoft.com/­azure/­synapse-analyticshelp.sap.com/­docs/­SAP_ASE
DeveloperApache Software FoundationBaiduIgnite Technologies Inc.; formerly InfoBright Inc.MicrosoftSAP, Sybase
Initial release20182018200520161987
Current release1.1.0, April 20230.916.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0commercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaCC++C and C++
Server operating systemsAll OS with a Java VM (>= 1.8)Linux
macOS
Unix
Linux
Windows
hostedAIX
HP-UX
Linux
Solaris
Unix
Windows
Data schemeyesyesyesyesyes
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.nonononono
Secondary indexesyesyes infoalso supports composite index and range indexno infoKnowledge Grid Technology used insteadyesyes
SQL infoSupport of SQLSQL-like query languagenoyesyesyes
APIs and other access methodsJDBC
Native API
Java API
RESTful HTTP API
TinkerPop Gremlin
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
Groovy
Java
Python
.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C#
Java
PHP
C
C++
Cobol
Java
Java
Perl
PHP
Python
Server-side scripts infoStored proceduresyesasynchronous Gremlin script jobsnoTransact SQLJava and Transact-SQL
Triggersyesnononoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)yes infodepending on used storage backend, e.g. Cassandra and HBasenoneSharding, horizontal partitioninghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replicationyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparkvia hugegraph-sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Eventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoedges in graphnono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlyesUsers, roles and permissionsfine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesyesfine grained access rights according to SQL-standard

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More resources
Apache IoTDBHugeGraphInfobrightMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSAP Adaptive Server infoformer name: Sybase ASE
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