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DBMS > Apache Druid vs. Hawkular Metrics vs. jBASE vs. searchxml vs. TypeDB

System Properties Comparison Apache Druid vs. Hawkular Metrics vs. jBASE vs. searchxml vs. TypeDB

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonjBASE  Xexclude from comparisonsearchxml  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A robust multi-value DBMS comprising development tools and middlewareDBMS for structured and unstructured content wrapped with an application serverTypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language
Primary database modelRelational DBMS
Time Series DBMS
Time Series DBMSMultivalue DBMSNative XML DBMS
Search engine
Graph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score1.41
Rank#159  Overall
#3  Multivalue DBMS
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Score0.65
Rank#234  Overall
#20  Graph DBMS
#107  Relational DBMS
Websitedruid.apache.orgwww.hawkular.orgwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasewww.searchxml.net/­category/­productstypedb.com
Technical documentationdruid.apache.org/­docs/­latest/­designwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9www.searchxml.net/­support/­handoutstypedb.com/­docs
DeveloperApache Software Foundation and contributorsCommunity supported by Red HatRocket Software (formerly Zumasys)informationpartners gmbhVaticle
Initial release20122014199120152016
Current release29.0.1, April 20245.71.02.26.3, January 2024
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache 2.0commercialcommercialOpen Source infoGPL Version 3, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++Java
Server operating systemsLinux
OS X
Unix
Linux
OS X
Windows
AIX
Linux
Windows
WindowsLinux
OS X
Windows
Data schemeyes infoschema-less columns are supportedschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesoptionalyesyes
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.nonoyesyesno
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSQL for queryingnoEmbedded SQL for jBASE in BASICnono
APIs and other access methodsJDBC
RESTful HTTP/JSON API
HTTP RESTJDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
RESTful HTTP API
WebDAV
XQuery
XSLT
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Go
Java
Python
Ruby
.Net
Basic
Jabbascript
Java
C++ infomost other programming languages supported via APIsAll JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresnonoyesyes infoon the application serverno
Triggersnoyes infovia Hawkular Alertingyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding infobased on CassandraShardingnoneSharding infoby using Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesselectable replication factor infobased on Cassandrayesyes infosychronisation to multiple collectionsMulti-source replication infoby using Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes infoby using Apache Kafka and Apache Zookeeper
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDmultiple readers, single writerACID
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.nonoyesnono
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemnoAccess rights can be defined down to the item levelDomain, group and role-based access control at the document level and for application servicesyes infoat REST API level; other APIs in progress
More information provided by the system vendor
Apache DruidHawkular MetricsjBASEsearchxmlTypeDB infoformerly named Grakn
Specific characteristicsTypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantagesTypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosLife sciences : TypeDB makes working with biological data much easier and accelerates...
» more
Licensing and pricing modelsApache f or language drivers, and AGPL and Commercial for the database server. The...
» more

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More resources
Apache DruidHawkular MetricsjBASEsearchxmlTypeDB infoformerly named Grakn
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