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DBMS > 4D vs. Apache Impala vs. Hawkular Metrics vs. Rockset vs. TimescaleDB

System Properties Comparison 4D vs. Apache Impala vs. Hawkular Metrics vs. Rockset vs. TimescaleDB

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonApache Impala  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonRockset  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemAnalytic DBMS for HadoopHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A scalable, reliable search and analytics service in the cloud, built on RocksDBA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelRelational DBMSRelational DBMSTime Series DBMSDocument storeTime Series DBMS
Secondary database modelsDocument storeRelational DBMS
Search engine
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Websitewww.4d.comimpala.apache.orgwww.hawkular.orgrockset.comwww.timescale.com
Technical documentationdeveloper.4d.comimpala.apache.org/­impala-docs.htmlwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.rockset.comdocs.timescale.com
Developer4D, IncApache Software Foundation infoApache top-level project, originally developed by ClouderaCommunity supported by Red HatRocksetTimescale
Initial release19842013201420192017
Current releasev20, April 20234.1.0, June 20222.15.0, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoApache 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaC++C
Server operating systemsOS X
Windows
LinuxLinux
OS X
Windows
hostedLinux
OS X
Windows
Data schemeyesyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesdynamic typingnumerics, 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.yesnonono infoingestion from XML files supportedyes
Secondary indexesyesyesnoall fields are automatically indexedyes
SQL infoSupport of SQLyes infoclose to SQL 92SQL-like DML and DDL statementsnoRead-only SQL queries, including JOINsyes infofull PostgreSQL SQL syntax
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JDBC
ODBC
HTTP RESTHTTP RESTADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages4D proprietary IDE
PHP
All languages supporting JDBC/ODBCGo
Java
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyesyes infouser defined functions and integration of map-reducenonouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyesnoyes infovia Hawkular Alertingnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infobased on CassandraAutomatic shardingyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationselectable replication factorselectable replication factor infobased on CassandrayesSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.nononono
User concepts infoAccess controlUsers and groupsAccess rights for users, groups and roles infobased on Apache Sentry and KerberosnoAccess rights for users and organizations can be defined via Rockset consolefine grained access rights according to SQL-standard

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More resources
4D infoformer name: 4th DimensionApache ImpalaHawkular MetricsRocksetTimescaleDB
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