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DBMS > BigObject vs. GigaSpaces vs. Hawkular Metrics vs. Netezza vs. OpenEdge

System Properties Comparison BigObject vs. GigaSpaces vs. Hawkular Metrics vs. Netezza vs. OpenEdge

Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonGigaSpaces  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonOpenEdge  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Data warehouse and analytics appliance part of IBM PureSystemsApplication development environment with integrated database management system
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedDocument store
Object oriented DBMS infoValues are user defined objects
Time Series DBMSRelational DBMSRelational DBMS
Secondary database modelsGraph DBMS
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DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score3.51
Rank#86  Overall
#46  Relational DBMS
Websitebigobject.iowww.gigaspaces.comwww.hawkular.orgwww.ibm.com/­products/­netezzawww.progress.com/­openedge
Technical documentationdocs.bigobject.iodocs.gigaspaces.com/­latest/­landing.htmlwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocumentation.progress.com/­output/­ua/­OpenEdge_latest
DeveloperBigObject, Inc.Gigaspaces TechnologiesCommunity supported by Red HatIBMProgress Software Corporation
Initial release20152000201420001984
Current release15.5, September 2020OpenEdge 12.2, March 2020
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetJava
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Linux
macOS
Solaris
Windows
Linux
OS X
Windows
Linux infoincluded in applianceAIX
HP-UX
Linux
Solaris
Windows
Data schemeyesschema-freeschema-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.nono infoXML can be used for describing objects metadatanoyes
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-99 for query and DML statementsnoyesyes infoclose to SQL 92
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
HTTP RESTJDBC
ODBC
OLE DB
JDBC
ODBC
Supported programming languages.Net
C++
Java
Python
Scala
Go
Java
Python
Ruby
C
C++
Fortran
Java
Lua
Perl
Python
R
Progress proprietary ABL (Advanced Business Language)
Server-side scripts infoStored proceduresLuayesnoyesyes
Triggersnoyes, event driven architectureyes infovia Hawkular Alertingnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infobased on CassandraShardinghorizontal partitioning infosince Version 11.4
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
selectable replication factor infobased on CassandraSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyesyes
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.yesyesnono
User concepts infoAccess controlnoRole-based access controlnoUsers with fine-grained authorization conceptUsers and groups

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More resources
BigObjectGigaSpacesHawkular MetricsNetezza infoAlso called PureData System for Analytics by IBMOpenEdge
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