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DBMS > HugeGraph vs. Microsoft Azure Synapse Analytics vs. OceanBase vs. SiteWhere

System Properties Comparison HugeGraph vs. Microsoft Azure Synapse Analytics vs. OceanBase vs. SiteWhere

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Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonOceanBase  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA distributed, high available RDBMS compatible with Oracle and MySQLM2M integration platform for persisting/querying time series data
Primary database modelGraph DBMSRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score1.57
Rank#149  Overall
#69  Relational DBMS
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
azure.microsoft.com/­services/­synapse-analyticsen.oceanbase.comgithub.com/­sitewhere/­sitewhere
Technical documentationhugegraph.apache.org/­docsdocs.microsoft.com/­azure/­synapse-analyticsen.oceanbase.com/­docs/­oceanbase-databasesitewhere1.sitewhere.io/­index.html
DeveloperBaiduMicrosoftOceanBase infopreviously Alibaba and Ant GroupSiteWhere
Initial release2018201620102010
Current release0.94.3.0, April 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoCommercial license availableOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++Java
Server operating systemsLinux
macOS
Unix
hostedLinuxLinux
OS X
Windows
Data schemeyesyesyespredefined scheme
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyesno
Secondary indexesyes infoalso supports composite index and range indexyesyesno
SQL infoSupport of SQLnoyesyesno
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
ADO.NET
JDBC
ODBC
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Proprietary native API
Table API
HTTP REST
Supported programming languagesGroovy
Java
Python
C#
Java
PHP
Ada infoin MySQL-compatible model
C infoin Oracle- and MySQL- compatible models
C++ infoin Oracle- and MySQL- compatible models
D infoin MySQL-compatible model
Delphi infoin MySQL-compatible model
Eiffel infoin MySQL-compatible model
Erlang infoin MySQL-compatible model
Haskell infoin MySQL-compatible model
Java infoin Oracle- and MySQL- compatible models
JavaScript (Node.js) infoin MySQL-compatible model
Objective-C infoin MySQL-compatible model
OCaml infoin MySQL-compatible model
Perl infoin MySQL-compatible model
PHP infoin MySQL-compatible model
Python infoin MySQL-compatible model
Ruby infoin MySQL-compatible model
Scheme infoin MySQL-compatible model
Tcl infoin MySQL-compatible model
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsTransact SQLPL/SQL in oracle-compatible mode, MySQL Stored Procedure in mysql-compatible mode
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding, horizontal partitioninghorizontal partitioning (by hash, key, range, range columns, list, and list columns)Sharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseyesMulti-source replication using Paxosselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlUsers, roles and permissionsyesAccess rights for users, groups and roles according to SQL-standardUsers with fine-grained authorization concept

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More resources
HugeGraphMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseOceanBaseSiteWhere
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