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DBMS > GigaSpaces vs. Graph Engine vs. Hawkular Metrics vs. OpenEdge vs. TDengine

System Properties Comparison GigaSpaces vs. Graph Engine vs. Hawkular Metrics vs. OpenEdge vs. TDengine

Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonOpenEdge  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Application development environment with integrated database management systemTime Series DBMS and big data platform
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Graph DBMS
Key-value store
Time Series DBMSRelational DBMSTime Series DBMS
Secondary database modelsGraph DBMS
Search engine
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score3.51
Rank#86  Overall
#46  Relational DBMS
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Websitewww.gigaspaces.comwww.graphengine.iowww.hawkular.orgwww.progress.com/­openedgegithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmlwww.graphengine.io/­docs/­manualwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocumentation.progress.com/­output/­ua/­OpenEdge_latestdocs.tdengine.com
DeveloperGigaspaces TechnologiesMicrosoftCommunity supported by Red HatProgress Software CorporationTDEngine, previously Taos Data
Initial release20002010201419842019
Current release15.5, September 2020OpenEdge 12.2, March 20203.0, August 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoMIT LicenseOpen Source infoApache 2.0commercialOpen Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .Net.NET and CJavaC
Server operating systemsLinux
macOS
Solaris
Windows
.NETLinux
OS X
Windows
AIX
HP-UX
Linux
Solaris
Windows
Linux
Windows
Data schemeschema-freeyesschema-freeyesyes
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.no infoXML can be used for describing objects metadatanonoyesno
Secondary indexesyesnoyesno
SQL infoSupport of SQLSQL-99 for query and DML statementsnonoyes infoclose to SQL 92Standard SQL with extensions for time-series applications
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
RESTful HTTP APIHTTP RESTJDBC
ODBC
JDBC
RESTful HTTP API
Supported programming languages.Net
C++
Java
Python
Scala
C#
C++
F#
Visual Basic
Go
Java
Python
Ruby
Progress proprietary ABL (Advanced Business Language)C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresyesyesnoyesno
Triggersyes, event driven architecturenoyes infovia Hawkular Alertingyesyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningSharding infobased on Cassandrahorizontal partitioning infosince Version 11.4Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
selectable replication factor infobased on CassandraSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnono
User concepts infoAccess controlRole-based access controlnoUsers and groupsyes
More information provided by the system vendor
GigaSpacesGraph Engine infoformer name: TrinityHawkular MetricsOpenEdgeTDengine
Specific characteristicsTDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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More resources
GigaSpacesGraph Engine infoformer name: TrinityHawkular MetricsOpenEdgeTDengine
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