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DBMS > Databricks vs. Hawkular Metrics vs. Hazelcast vs. Quasardb vs. TimesTen

System Properties Comparison Databricks vs. Hawkular Metrics vs. Hazelcast vs. Quasardb vs. TimesTen

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonHazelcast  Xexclude from comparisonQuasardb  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A widely adopted in-memory data gridDistributed, high-performance timeseries databaseIn-Memory RDBMS compatible to Oracle
Primary database modelDocument store
Relational DBMS
Time Series DBMSKey-value storeTime Series DBMSRelational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score1.31
Rank#163  Overall
#74  Relational DBMS
Websitewww.databricks.comwww.hawkular.orghazelcast.comquasar.aiwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdocs.databricks.comwww.hawkular.org/­hawkular-metrics/­docs/­user-guidehazelcast.org/­imdg/­docsdoc.quasar.ai/­masterdocs.oracle.com/­database/­timesten-18.1
DeveloperDatabricksCommunity supported by Red HatHazelcastquasardbOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20132014200820091998
Current release5.3.6, November 20233.14.1, January 202411 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2; commercial licenses availablecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC++
Server operating systemshostedLinux
OS X
Windows
All OS with a Java VMBSD
Linux
OS X
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryyes
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.yesnoyes infothe object must implement a serialization strategynono
Secondary indexesyesnoyesyes infowith tagsyes
SQL infoSupport of SQLwith Databricks SQLnoSQL-like query languageSQL-like query languageyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP RESTJCache
JPA
Memcached protocol
RESTful HTTP API
HTTP APIJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesPython
R
Scala
Go
Java
Python
Ruby
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyes infoEvent Listeners, Executor ServicesnoPL/SQL
Triggersyes infovia Hawkular Alertingyes infoEventsnono
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingSharding infoconsistent hashingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infobased on Cassandrayes infoReplicated MapSource-replica replication with selectable replication factorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyeswith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoone or two-phase-commit; repeatable reads; read commitedACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDByes 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.nonoyesyes infoTransient modeyes
User concepts infoAccess controlnoRole-based access controlCryptographically strong user authentication and audit trailfine grained access rights according to SQL-standard
More information provided by the system vendor
DatabricksHawkular MetricsHazelcastQuasardbTimesTen
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksHawkular MetricsHazelcastQuasardbTimesTen
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