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DBMS > Apache Druid vs. Hawkular Metrics vs. Machbase Neo vs. Oracle Coherence vs. Vertica

System Properties Comparison Apache Druid vs. Hawkular Metrics vs. Machbase Neo vs. Oracle Coherence vs. Vertica

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonOracle Coherence  Xexclude from comparisonVertica infoOpenText™ Vertica™  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.TimeSeries DBMS for AIoT and BigDataOracles in-memory data grid solutionCloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.
Primary database modelRelational DBMS
Time Series DBMS
Time Series DBMSTime Series DBMSKey-value storeRelational DBMS infoColumn oriented
Secondary database modelsSpatial DBMS
Time Series 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
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score0.17
Rank#337  Overall
#30  Time Series DBMS
Score1.97
Rank#129  Overall
#22  Key-value stores
Score10.06
Rank#42  Overall
#26  Relational DBMS
Websitedruid.apache.orgwww.hawkular.orgmachbase.comwww.oracle.com/­java/­coherencewww.vertica.com
Technical documentationdruid.apache.org/­docs/­latest/­designwww.hawkular.org/­hawkular-metrics/­docs/­user-guidemachbase.com/­dbmsdocs.oracle.com/­en/­middleware/­standalone/­coherencevertica.com/­documentation
DeveloperApache Software Foundation and contributorsCommunity supported by Red HatMachbaseOracleOpenText infopreviously Micro Focus and Hewlett Packard
Initial release20122014201320072005
Current release29.0.1, April 2024V8.0, August 202314.1, August 202312.0.3, January 2023
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache 2.0commercial infofree test version availablecommercialcommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenonononono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaCJavaC++
Server operating systemsLinux
OS X
Unix
Linux
OS X
Windows
Linux
macOS
Windows
All OS with a Java VMLinux
Data schemeyes infoschema-less columns are supportedschema-freeyesschema-freeYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonononono
Secondary indexesyesnoyesnoNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLSQL for queryingnoSQL-like query languagenoFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsJDBC
RESTful HTTP/JSON API
HTTP RESTgRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
JCache
JPA
RESTful HTTP API
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Go
Java
Python
Ruby
C
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
.Net
C++
Java
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresnonononoyes, PostgreSQL PL/pgSQL, with minor differences
Triggersnoyes infovia Hawkular Alertingnoyes infoLive Eventsyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding infobased on CassandraShardingShardinghorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesselectable replication factor infobased on Cassandraselectable replication factoryes, with selectable consistency levelMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoconfigurableACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesnoyes infooptionallyyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infovolatile and lookup tableyesno
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemnosimple password-based access controlauthentification to access the cache via certificates or http basic authenticationfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
Apache DruidHawkular MetricsMachbase Neo infoFormer name was InfinifluxOracle CoherenceVertica infoOpenText™ Vertica™
Specific characteristicsDeploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
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Competitive advantagesFast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
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Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
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Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
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Licensing and pricing modelsCost-based models and subscription-based models are both available. One license is...
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More resources
Apache DruidHawkular MetricsMachbase Neo infoFormer name was InfinifluxOracle CoherenceVertica infoOpenText™ Vertica™
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