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DBMS > Apache Druid vs. BigchainDB vs. Sphinx vs. TDSQL for MySQL

System Properties Comparison Apache Druid vs. BigchainDB vs. Sphinx vs. TDSQL for MySQL

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonBigchainDB  Xexclude from comparisonSphinx  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsOpen source search engine for searching in data from different sources, e.g. relational databasesA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.
Primary database modelRelational DBMS
Time Series DBMS
Document storeSearch engineRelational DBMS
Secondary database modelsDocument store
Spatial 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
Score0.79
Rank#212  Overall
#36  Document stores
Score5.98
Rank#56  Overall
#5  Search engines
Score0.85
Rank#205  Overall
#95  Relational DBMS
Websitedruid.apache.orgwww.bigchaindb.comsphinxsearch.comwww.tencentcloud.com/­products/­dcdb
Technical documentationdruid.apache.org/­docs/­latest/­designbigchaindb.readthedocs.io/­en/­latestsphinxsearch.com/­docswww.tencentcloud.com/­document/­product/­1042
DeveloperApache Software Foundation and contributorsSphinx Technologies Inc.Tencent
Initial release2012201620012013
Current release29.0.1, April 20243.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoAGPL v3Open Source infoGPL version 2, commercial licence availablecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaPythonC++
Server operating systemsLinux
OS X
Unix
LinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
hosted
Data schemeyes infoschema-less columns are supportedschema-freeyesyes
Typing infopredefined data types such as float or dateyesnonoyes
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.nonono
Secondary indexesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLSQL for queryingnoSQL-like query language (SphinxQL)yes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
CLI Client
RESTful HTTP API
Proprietary protocolJDBC
ODBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Go
Haskell
Java
JavaScript
Python
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesselectable replication factornoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemyesnoUsers with fine-grained authorization concept

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More resources
Apache DruidBigchainDBSphinxTDSQL for MySQL
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