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DBMS > Apache Druid vs. GeoSpock vs. Hawkular Metrics vs. HugeGraph

System Properties Comparison Apache Druid vs. GeoSpock vs. Hawkular Metrics vs. HugeGraph

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonGeoSpock  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonHugeGraph  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataSpatial 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.A fast-speed and highly-scalable Graph DBMS
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSTime Series DBMSGraph DBMS
Secondary database modelsTime Series DBMS
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
Score0.13
Rank#336  Overall
#32  Graph DBMS
Websitedruid.apache.orggeospock.comwww.hawkular.orggithub.com/­hugegraph
hugegraph.apache.org
Technical documentationdruid.apache.org/­docs/­latest/­designwww.hawkular.org/­hawkular-metrics/­docs/­user-guidehugegraph.apache.org/­docs
DeveloperApache Software Foundation and contributorsGeoSpockCommunity supported by Red HatBaidu
Initial release201220142018
Current release29.0.1, April 20242.0, September 20190.9
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Source infoApache 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, JavascriptJavaJava
Server operating systemsLinux
OS X
Unix
hostedLinux
OS X
Windows
Linux
macOS
Unix
Data schemeyes infoschema-less columns are supportedyesschema-freeyes
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.nononono
Secondary indexesyestemporal, categoricalnoyes infoalso supports composite index and range index
SQL infoSupport of SQLSQL for queryingANSI SQL for query only (using Presto)nono
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBCHTTP RESTJava API
RESTful HTTP API
TinkerPop Gremlin
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Go
Java
Python
Ruby
Groovy
Java
Python
Server-side scripts infoStored proceduresnononoasynchronous Gremlin script jobs
Triggersnonoyes infovia Hawkular Alertingno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedAutomatic shardingSharding infobased on Cassandrayes infodepending on used storage backend, e.g. Cassandra and HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesselectable replication factor infobased on Cassandrayes infodepending on used storage backend, e.g. Cassandra and HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononovia hugegraph-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Foreign keys infoReferential integritynononoyes infoedges in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users can be defined per tablenoUsers, roles and permissions

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More resources
Apache DruidGeoSpockHawkular MetricsHugeGraph
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