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DBMS > EXASOL vs. Hawkular Metrics vs. Ingres vs. Spark SQL

System Properties Comparison EXASOL vs. Hawkular Metrics vs. Ingres vs. Spark SQL

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Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonIngres  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Well established RDBMSSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSTime Series DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitewww.exasol.comwww.hawkular.orgwww.actian.com/­databases/­ingresspark.apache.org/­sql
Technical documentationwww.exasol.com/­resourceswww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.actian.com/­ingresspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperExasolCommunity supported by Red HatActian CorporationApache Software Foundation
Initial release200020141974 infooriginally developed at University Berkely in early 1970s2014
Current release11.2, May 20223.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCScala
Server operating systemsLinux
OS X
Windows
AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
OS X
Windows
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.nonono infobut tools for importing/exporting data from/to XML-files availableno
Secondary indexesyesnoyesno
SQL infoSupport of SQLyesnoyesSQL-like DML and DDL statements
APIs and other access methods.Net
JDBC
ODBC
WebSocket
HTTP REST.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
JDBC
ODBC
Supported programming languagesJava
Lua
Python
R
Go
Java
Python
Ruby
Java
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functionsnoyesno
Triggersyesyes infovia Hawkular Alertingyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on Cassandrahorizontal partitioning infoIngres Star to access multiple databases simultaneouslyyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraIngres Replicatornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyes
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.yesnonono
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardnofine grained access rights according to SQL-standardno

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More resources
EXASOLHawkular MetricsIngresSpark SQL
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