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DBMS > GeoSpock vs. Hawkular Metrics vs. Tigris vs. TimesTen

System Properties Comparison GeoSpock vs. Hawkular Metrics vs. Tigris vs. TimesTen

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Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonTigris  Xexclude from comparisonTimesTen  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionSpatial and temporal data processing engine for extreme data scaleHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructureAn in-memory SQL relational database that delivers microsecond response and high throughput for OLTP applications. TimesTen can be deployed as a standalone database or as a cache to a backend Oracle database.
Primary database modelRelational DBMSTime Series DBMSDocument store
Key-value store
Search engine
Time Series DBMS
Relational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.01
Rank#377  Overall
#39  Time Series DBMS
Score0.05
Rank#359  Overall
#50  Document stores
#52  Key-value stores
#23  Search engines
#37  Time Series DBMS
Score1.26
Rank#164  Overall
#75  Relational DBMS
Websitegeospock.comwww.hawkular.orgwww.tigrisdata.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidewww.tigrisdata.com/­docsdocs.oracle.com/­en/­database/­other-databases/­timesten/­index.html
DeveloperGeoSpockCommunity supported by Red HatTigris Data, Inc.Oracle infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release201420221998
Current release2.0, September 2019Release 22.1
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptJava
Server operating systemshostedLinux
OS X
Windows
Linux
macOS
Windows
IBM AIX Power PC 64-bit
Linux arm64
Linux x86-64
Solaris SPARC 64
Solaris SPARC/x86
Solaris x86-64
Data schemeyesschema-freeyesyes
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.nononono
Secondary indexestemporal, categoricalnoyesyes
SQL infoSupport of SQLANSI SQL for query only (using Presto)nonoyes
APIs and other access methodsJDBCHTTP RESTCLI Client
gRPC
RESTful HTTP API
ODBC
ODP.NET
Oracle Call Interface (OCI)
Pro*C/C++ programming interfaces
SQL and PL/SQL via JDBC
Supported programming languagesGo
Java
Python
Ruby
Go
Java
JavaScript (Node.js)
C
C++
Java
Node.js
PL/SQL
Python
Server-side scripts infoStored proceduresnononoPL/SQL
Triggersnoyes infovia Hawkular Alertingnono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingSharding infobased on CassandraShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandrayesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes, using FoundationDByes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAccess rights for users can be defined per tablenoAccess rights for users and rolesfine grained access rights according to SQL-standard

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More resources
GeoSpockHawkular MetricsTigrisTimesTen
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