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DBMS > Apache Impala vs. Hawkular Metrics vs. ITTIA vs. Oracle Coherence vs. TimescaleDB

System Properties Comparison Apache Impala vs. Hawkular Metrics vs. ITTIA vs. Oracle Coherence vs. TimescaleDB

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonITTIA  Xexclude from comparisonOracle Coherence  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Edge Time Series DBMS with Real-Time Stream ProcessingOracles in-memory data grid solutionA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSKey-value storeTime Series DBMS
Secondary database modelsDocument storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score0.39
Rank#273  Overall
#24  Time Series DBMS
Score1.92
Rank#130  Overall
#22  Key-value stores
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Websiteimpala.apache.orgwww.hawkular.orgwww.ittia.comwww.oracle.com/­java/­coherencewww.timescale.com
Technical documentationimpala.apache.org/­impala-docs.htmlwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.oracle.com/­en/­middleware/­standalone/­coherencedocs.timescale.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaCommunity supported by Red HatITTIA L.L.C.OracleTimescale
Initial release20132014200720072017
Current release4.1.0, June 20228.714.1, August 20232.15.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0commercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC and C++JavaC
Server operating systemsLinuxLinux
OS X
Windows
Linux
Windows
All OS with a Java VMLinux
OS X
Windows
Data schemeyesschema-freeFixed schemaschema-freeyes
Typing infopredefined data types such as float or dateyesyesFloat/Blob/Integer/String/Unicode/Date/Time/Timestamp/Intervalyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.nonononoyes
Secondary indexesyesnoyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyesnoyes infofull PostgreSQL SQL syntax
APIs and other access methodsJDBC
ODBC
HTTP RESTJDBC
ODBC
RESTful HTTP API
WebSocket
JCache
JPA
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesAll languages supporting JDBC/ODBCGo
Java
Python
Ruby
C
C++
JavaScript (Node.js)
Python
.Net
C++
Java
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoyesnouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnoyes infovia Hawkular Alertingnoyes infoLive Eventsyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraShardingyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor infobased on Cassandrayesyes, with selectable consistency levelSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoyesconfigurableACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyes infooptionallyyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyesno
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosnoDatabase file passwordsauthentification to access the cache via certificates or http basic authenticationfine grained access rights according to SQL-standard

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More resources
Apache ImpalaHawkular MetricsITTIAOracle CoherenceTimescaleDB
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