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DBMS > Apache Druid vs. EsgynDB vs. Manticore Search vs. Riak KV

System Properties Comparison Apache Druid vs. EsgynDB vs. Manticore Search vs. Riak KV

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonEsgynDB  Xexclude from comparisonManticore Search  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionMulti-storage database for search, including full-text search.Distributed, fault tolerant key-value store
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSSearch engineKey-value store infowith links between data sets and object tags for the creation of secondary indexes
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.29
Rank#95  Overall
#49  Relational DBMS
#7  Time Series DBMS
Score0.23
Rank#319  Overall
#141  Relational DBMS
Score0.23
Rank#317  Overall
#21  Search engines
Score4.44
Rank#80  Overall
#9  Key-value stores
Websitedruid.apache.orgwww.esgyn.cnmanticoresearch.com
Technical documentationdruid.apache.org/­docs/­latest/­designmanual.manticoresearch.comwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperApache Software Foundation and contributorsEsgynManticore SoftwareOpenSource, formerly Basho Technologies
Initial release2012201520172009
Current release29.0.1, April 20246.0, February 20233.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Source infoGPL version 2Open Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, JavaC++Erlang
Server operating systemsLinux
OS X
Unix
LinuxFreeBSD
Linux
macOS
Windows
Linux
OS X
Data schemeyes infoschema-less columns are supportedyesFixed schemaschema-free
Typing infopredefined data types such as float or dateyesyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanno
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.nonoCan index from XMLno
Secondary indexesyesyesyes infofull-text index on all search fieldsrestricted
SQL infoSupport of SQLSQL for queryingyesSQL-like query languageno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
HTTP API
Native Erlang Interface
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
All languages supporting JDBC/ODBC/ADO.NetElixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresnoJava Stored Proceduresuser defined functionsErlang
Triggersnononoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesMulti-source replication between multi datacentersSynchronous replication based on Galera libraryselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyes infoisolated transactions for atomic changes and binary logging for safe writesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Manticore 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 systemfine grained access rights according to SQL-standardnoyes, using Riak Security

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More resources
Apache DruidEsgynDBManticore SearchRiak KV
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