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DBMS > Dgraph vs. eXtremeDB vs. Hazelcast vs. Microsoft Azure Table Storage

System Properties Comparison Dgraph vs. eXtremeDB vs. Hazelcast vs. Microsoft Azure Table Storage

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Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisoneXtremeDB  Xexclude from comparisonHazelcast  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSNatively in-memory DBMS with options for persistency, high-availability and clusteringA widely adopted in-memory data gridA Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelGraph DBMSRelational DBMS
Time Series DBMS
Key-value storeWide column store
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score0.80
Rank#214  Overall
#99  Relational DBMS
#18  Time Series DBMS
Score5.46
Rank#61  Overall
#7  Key-value stores
Score4.04
Rank#77  Overall
#6  Wide column stores
Websitedgraph.iowww.mcobject.comhazelcast.comazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationdgraph.io/­docswww.mcobject.com/­docs/­extremedb.htmhazelcast.org/­imdg/­docs
DeveloperDgraph Labs, Inc.McObjectHazelcastMicrosoft
Initial release2016200120082012
Current release8.2, 20215.3.6, November 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache Version 2; commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC and C++Java
Server operating systemsLinux
OS X
Windows
AIX
HP-UX
Linux
macOS
Solaris
Windows
All OS with a Java VMhosted
Data schemeschema-freeyesschema-freeschema-free
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.nono infosupport of XML interfaces availableyes infothe object must implement a serialization strategyno
Secondary indexesyesyesyesno
SQL infoSupport of SQLnoyes infowith the option: eXtremeSQLSQL-like query languageno
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
JCache
JPA
Memcached protocol
RESTful HTTP API
RESTful HTTP API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C#
C++
Java
Lua
Python
Scala
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyesyes infoEvent Listeners, Executor Servicesno
Triggersnoyes infoby defining eventsyes infoEventsno
Partitioning methods infoMethods for storing different data on different nodesyeshorizontal partitioning / shardingShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftActive Replication Fabricâ„¢ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
yes infoReplicated Mapyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDone or two-phase-commit; repeatable reads; read commitedoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyes
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.yesyesno
User concepts infoAccess controlno infoPlanned for future releasesRole-based access controlAccess rights based on private key authentication or shared access signatures
More information provided by the system vendor
DgrapheXtremeDBHazelcastMicrosoft Azure Table Storage
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» more
Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more

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DgrapheXtremeDBHazelcastMicrosoft Azure Table Storage
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