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DBMS > Drizzle vs. GeoSpock vs. Hawkular Metrics vs. HBase vs. Pinecone

System Properties Comparison Drizzle vs. GeoSpock vs. Hawkular Metrics vs. HBase vs. Pinecone

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonGeoSpock  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonHBase  Xexclude from comparisonPinecone  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.GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Spatial and temporal data processing engine for extreme data scaleHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Wide-column store based on Apache Hadoop and on concepts of BigTableA managed, cloud-native vector database
Primary database modelRelational DBMSRelational DBMSTime Series DBMSWide column storeVector DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score3.16
Rank#95  Overall
#2  Vector DBMS
Websitegeospock.comwww.hawkular.orghbase.apache.orgwww.pinecone.io
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidehbase.apache.org/­book.htmldocs.pinecone.io/­docs/­overview
DeveloperDrizzle project, originally started by Brian AkerGeoSpockCommunity supported by Red HatApache Software Foundation infoApache top-level project, originally developed by PowersetPinecone Systems, Inc
Initial release2008201420082019
Current release7.2.4, September 20122.0, September 20192.3.4, January 2021
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialOpen Source infoApache 2.0Open Source infoApache version 2commercial
Cloud-based only infoOnly available as a cloud servicenoyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java, JavascriptJavaJava
Server operating systemsFreeBSD
Linux
OS X
hostedLinux
OS X
Windows
Linux
Unix
Windows infousing Cygwin
hosted
Data schemeyesyesschema-freeschema-free, schema definition possible
Typing infopredefined data types such as float or dateyesyesyesoptions to bring your own types, AVROString, Number, Boolean
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.nononono
Secondary indexesyestemporal, categoricalnono
SQL infoSupport of SQLyes infowith proprietary extensionsANSI SQL for query only (using Presto)nonono
APIs and other access methodsJDBCJDBCHTTP RESTJava API
RESTful HTTP API
Thrift
RESTful HTTP API
Supported programming languagesC
C++
Java
PHP
Go
Java
Python
Ruby
C
C#
C++
Groovy
Java
PHP
Python
Scala
Python
Server-side scripts infoStored proceduresnononoyes infoCoprocessors in Java
Triggersno infohooks for callbacks inside the server can be used.noyes infovia Hawkular Alertingyes
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
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
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoSingle row ACID (across millions of columns)
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.nonoyesno
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users can be defined per tablenoAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC

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More resources
DrizzleGeoSpockHawkular MetricsHBasePinecone
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