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DBMS > Databricks vs. Hawkular Metrics vs. Oracle Coherence vs. TimescaleDB vs. Transwarp Hippo

System Properties Comparison Databricks vs. Hawkular Metrics vs. Oracle Coherence vs. TimescaleDB vs. Transwarp Hippo

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonOracle Coherence  Xexclude from comparisonTimescaleDB  Xexclude from comparisonTranswarp Hippo  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.Oracles in-memory data grid solutionA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLCloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets
Primary database modelDocument store
Relational DBMS
Time Series DBMSKey-value storeTime Series DBMSVector DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score1.97
Rank#129  Overall
#22  Key-value stores
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Score0.05
Rank#386  Overall
#14  Vector DBMS
Websitewww.databricks.comwww.hawkular.orgwww.oracle.com/­java/­coherencewww.timescale.comwww.transwarp.cn/­en/­subproduct/­hippo
Technical documentationdocs.databricks.comwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.oracle.com/­en/­middleware/­standalone/­coherencedocs.timescale.com
DeveloperDatabricksCommunity supported by Red HatOracleTimescale
Initial release20132014200720172023
Current release14.1, August 20232.15.0, May 20241.0, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaCC++
Server operating systemshostedLinux
OS X
Windows
All OS with a Java VMLinux
OS X
Windows
Linux
macOS
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesVector, Numeric and String
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.yesnonoyesno
Secondary indexesyesnonoyesno
SQL infoSupport of SQLwith Databricks SQLnonoyes infofull PostgreSQL SQL syntaxno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP RESTJCache
JPA
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP API
Supported programming languagesPython
R
Scala
Go
Java
Python
Ruby
.Net
C++
Java
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
C++
Java
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesnonouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shellno
Triggersyes infovia Hawkular Alertingyes infoLive Eventsyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingyes, across time and space (hash partitioning) attributesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infobased on Cassandrayes, with selectable consistency levelSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoconfigurableACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infooptionallyyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesnoyes
User concepts infoAccess controlnoauthentification to access the cache via certificates or http basic authenticationfine grained access rights according to SQL-standardRole based access control and fine grained access rights
More information provided by the system vendor
DatabricksHawkular MetricsOracle CoherenceTimescaleDBTranswarp Hippo
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksHawkular MetricsOracle CoherenceTimescaleDBTranswarp Hippo
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