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DBMS > Apache Druid vs. dBASE vs. Hawkular Metrics vs. JSqlDb vs. Splice Machine

System Properties Comparison Apache Druid vs. dBASE vs. Hawkular Metrics vs. JSqlDb vs. Splice Machine

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisondBASE  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonJSqlDb  Xexclude from comparisonSplice Machine  Xexclude from comparison
JSqlDB seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality datadBase 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.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.JavaScript Query Language Database, stores JavaScript objects and primitivesOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSTime Series DBMSDocument store
Object oriented DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score9.70
Rank#44  Overall
#28  Relational DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitedruid.apache.orgwww.dbase.comwww.hawkular.orgjsqldb.org (offline)splicemachine.com
Technical documentationdruid.apache.org/­docs/­latest/­designwww.dbase.com/­support/­knowledgebasewww.hawkular.org/­hawkular-metrics/­docs/­user-guidesplicemachine.com/­how-it-works
DeveloperApache Software Foundation and contributorsAsthon TateCommunity supported by Red HatKonrad von BackstromSplice Machine
Initial release20121979201420182014
Current release29.0.1, April 2024dBASE 2019, 20190.8, December 20183.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Source infoApache 2.0Open SourceOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaJava
Server operating systemsLinux
OS X
Unix
DOS infodBase Classic
Windows infodBase Pro
Linux
OS X
Windows
Linux
macOS
Windows
Linux
OS X
Solaris
Windows
Data schemeyes infoschema-less columns are supportedyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.nonono
Secondary indexesyesyesnonoyes
SQL infoSupport of SQLSQL for queryingnononoyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
none infoThe IDE can access other DBMS or ODBC-sources.HTTP RESTJDBC
Native Spark Datasource
ODBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
dBase proprietary IDEGo
Java
Python
Ruby
JavaScriptC#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnono infoThe IDE can access stored procedures in other database systems.nofunctions in JavaScriptyes infoJava
Triggersnonoyes infovia Hawkular Alertingnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednoneSharding infobased on CassandranoneShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnoneselectable replication factor infobased on CassandranoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infonot for dBase internal data, but IDE does support transactions when accessing external DBMSnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes infousing RocksDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users and rolesnoAccess rights for users, groups and roles according to SQL-standard

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More resources
Apache DruiddBASEHawkular MetricsJSqlDbSplice Machine
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