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DBMS > Apache Druid vs. Blueflood vs. Datastax Enterprise vs. IRONdb

System Properties Comparison Apache Druid vs. Blueflood vs. Datastax Enterprise vs. IRONdb

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonBlueflood  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonIRONdb  Xexclude from comparison
IRONdb 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 dataScalable TimeSeries DBMS based on CassandraDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicity
Primary database modelRelational DBMS
Time Series DBMS
Time Series DBMSWide column storeTime Series DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector 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
Score0.06
Rank#353  Overall
#34  Time Series DBMS
Score5.80
Rank#60  Overall
#4  Wide column stores
Websitedruid.apache.orgblueflood.iowww.datastax.com/­products/­datastax-enterprisewww.circonus.com/solutions/time-series-database/
Technical documentationdruid.apache.org/­docs/­latest/­designgithub.com/­rax-maas/­blueflood/­wikidocs.datastax.comdocs.circonus.com/irondb/category/getting-started
DeveloperApache Software Foundation and contributorsRackspaceDataStaxCirconus LLC.
Initial release2012201320112017
Current release29.0.1, April 20246.8, April 2020V0.10.20, January 2018
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaC and C++
Server operating systemsLinux
OS X
Unix
Linux
OS X
Linux
OS X
Linux
Data schemeyes infoschema-less columns are supportedpredefined schemeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infotext, numeric, histograms
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 indexesyesnoyesno
SQL infoSupport of SQLSQL for queryingnoSQL-like DML and DDL statements (CQL); Spark SQLSQL-like query language (Circonus Analytics Query Language: CAQL)
APIs and other access methodsJDBC
RESTful HTTP/JSON API
HTTP RESTProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
HTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Server-side scripts infoStored proceduresnononoyes, in Lua
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding infobased on CassandraSharding infono "single point of failure"Automatic, metric affinity per node
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesselectable replication factor infobased on Cassandraconfigurable replication factor, datacenter aware, advanced replication for edge computingconfigurable replication factor, datacenter aware
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono infoAtomicity and isolation are supported for single operationsno
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.nonoyesno
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemnoAccess rights for users can be defined per objectno
More information provided by the system vendor
Apache DruidBluefloodDatastax EnterpriseIRONdb
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» more

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More resources
Apache DruidBluefloodDatastax EnterpriseIRONdb
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