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DBMS > Databricks vs. dBASE vs. Drizzle vs. Hawkular Metrics vs. KairosDB

System Properties Comparison Databricks vs. dBASE vs. Drizzle vs. Hawkular Metrics vs. KairosDB

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisondBASE  Xexclude from comparisonDrizzle  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonKairosDB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
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.dBase was one of the first databases with a development environment on PC's. Its latest version dBase V is still sold as dBase classic, which needs a DOS Emulation. The up-to-date product is dBase plus.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Distributed Time Series DBMS based on Cassandra or H2
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMSTime Series DBMSTime Series 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
Score9.70
Rank#44  Overall
#28  Relational DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score0.67
Rank#233  Overall
#20  Time Series DBMS
Websitewww.databricks.comwww.dbase.comwww.hawkular.orggithub.com/­kairosdb/­kairosdb
Technical documentationdocs.databricks.comwww.dbase.com/­support/­knowledgebasewww.hawkular.org/­hawkular-metrics/­docs/­user-guidekairosdb.github.io
DeveloperDatabricksAsthon TateDrizzle project, originally started by Brian AkerCommunity supported by Red Hat
Initial release20131979200820142013
Current releasedBASE 2019, 20197.2.4, September 20121.2.2, November 2018
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGNU GPLOpen Source infoApache 2.0Open Source infoApache 2.0
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 languageC++JavaJava
Server operating systemshostedDOS infodBase Classic
Windows infodBase Pro
FreeBSD
Linux
OS X
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesschema-freeschema-free
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.yesnono
Secondary indexesyesyesyesnono
SQL infoSupport of SQLwith Databricks SQLnoyes infowith proprietary extensionsnono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
none infoThe IDE can access other DBMS or ODBC-sources.JDBCHTTP RESTGraphite protocol
HTTP REST
Telnet API
Supported programming languagesPython
R
Scala
dBase proprietary IDEC
C++
Java
PHP
Go
Java
Python
Ruby
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesno infoThe IDE can access stored procedures in other database systems.nonono
Triggersnono infohooks for callbacks inside the server can be used.yes infovia Hawkular Alertingno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infobased on CassandraSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneMulti-source replication
Source-replica replication
selectable replication factor infobased on Cassandraselectable replication factor infobased on Cassandra
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 infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infonot for dBase internal data, but IDE does support transactions when accessing external DBMSACIDnono
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.nonono
User concepts infoAccess controlAccess rights for users and rolesPluggable authentication mechanisms infoe.g. LDAP, HTTPnosimple password-based access control
More information provided by the system vendor
DatabricksdBASEDrizzleHawkular MetricsKairosDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksdBASEDrizzleHawkular MetricsKairosDB
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