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DBMS > Apache Druid vs. BoltDB vs. Datastax Enterprise vs. Microsoft Azure Table Storage

System Properties Comparison Apache Druid vs. BoltDB vs. Datastax Enterprise vs. Microsoft Azure Table Storage

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonBoltDB  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataAn embedded key-value store for Go.DataStax 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 Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelRelational DBMS
Time Series DBMS
Key-value storeWide column storeWide column store
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
Score2.70
Rank#98  Overall
#50  Relational DBMS
#7  Time Series DBMS
Score0.62
Rank#230  Overall
#32  Key-value stores
Score4.91
Rank#63  Overall
#4  Wide column stores
Score3.09
Rank#82  Overall
#6  Wide column stores
Websitedruid.apache.orggithub.com/­boltdb/­boltwww.datastax.com/­products/­datastax-enterpriseazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.datastax.com
DeveloperApache Software Foundation and contributorsDataStaxMicrosoft
Initial release2012201320112012
Current release30.0.0, June 20246.8, April 2020
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoMIT Licensecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
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Implementation languageJavaGoJava
Server operating systemsLinux
OS X
Unix
BSD
Linux
OS X
Solaris
Windows
Linux
OS X
hosted
Data schemeyes infoschema-less columns are supportedschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyesyes
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 SQLno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
RESTful HTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
GoC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnononono
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednoneSharding infono "single point of failure"Sharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnoneconfigurable replication factor, datacenter aware, advanced replication for edge computingyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesno infoAtomicity and isolation are supported for single operationsoptimistic locking
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 objectAccess rights based on private key authentication or shared access signatures
More information provided by the system vendor
Apache DruidBoltDBDatastax EnterpriseMicrosoft Azure Table Storage
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 DruidBoltDBDatastax EnterpriseMicrosoft Azure Table Storage
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