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DBMS > GigaSpaces vs. Graph Engine vs. HarperDB vs. Hawkular Metrics vs. Prometheus

System Properties Comparison GigaSpaces vs. Graph Engine vs. HarperDB vs. Hawkular Metrics vs. Prometheus

Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonHarperDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonPrometheus  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 engineUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Open-source Time Series DBMS and monitoring system
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Graph DBMS
Key-value store
Document storeTime Series DBMSTime Series DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score0.60
Rank#244  Overall
#38  Document stores
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Websitewww.gigaspaces.comwww.graphengine.iowww.harperdb.iowww.hawkular.orgprometheus.io
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmlwww.graphengine.io/­docs/­manualdocs.harperdb.io/­docswww.hawkular.org/­hawkular-metrics/­docs/­user-guideprometheus.io/­docs
DeveloperGigaspaces TechnologiesMicrosoftHarperDBCommunity supported by Red Hat
Initial release20002010201720142015
Current release15.5, September 20203.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoMIT Licensecommercial infofree community edition availableOpen Source infoApache 2.0Open Source infoApache 2.0
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 CNode.jsJavaGo
Server operating systemsLinux
macOS
Solaris
Windows
.NETLinux
OS X
Linux
OS X
Windows
Linux
Windows
Data schemeschema-freeyesdynamic schemaschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infoJSON data typesyesNumeric data only
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 metadatanononono infoImport of XML data possible
Secondary indexesyesyesnono
SQL infoSupport of SQLSQL-99 for query and DML statementsnoSQL-like data manipulation statementsnono
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
RESTful HTTP APIJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
HTTP RESTRESTful HTTP/JSON API
Supported programming languages.Net
C++
Java
Python
Scala
C#
C++
F#
Visual Basic
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
Go
Java
Python
Ruby
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresyesyesCustom Functions infosince release 3.1nono
Triggersyes, event driven architecturenonoyes infovia Hawkular Alertingno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningA table resides as a whole on one (or more) nodes in a clusterSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yes infothe nodes on which a table resides can be definedselectable replication factor infobased on Cassandrayes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
none
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoAtomic execution of specific operationsnono
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 storageyes, using LMDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesnono
User concepts infoAccess controlRole-based access controlAccess rights for users and rolesnono

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More resources
GigaSpacesGraph Engine infoformer name: TrinityHarperDBHawkular MetricsPrometheus
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