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DBMS > Apache Druid vs. IBM Db2 Event Store vs. Percona Server for MongoDB vs. SpatiaLite vs. YottaDB

System Properties Comparison Apache Druid vs. IBM Db2 Event Store vs. Percona Server for MongoDB vs. SpatiaLite vs. YottaDB

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonSpatiaLite  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataDistributed Event Store optimized for Internet of Things use casesA drop-in replacement for MongoDB Community Edition with enterprise-grade features.Spatial extension of SQLiteA fast and solid embedded Key-value store
Primary database modelRelational DBMS
Time Series DBMS
Event Store
Time Series DBMS
Document storeSpatial DBMSKey-value store
Secondary database modelsRelational DBMSRelational DBMS infousing the Octo plugin
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
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.60
Rank#246  Overall
#39  Document stores
Score1.63
Rank#146  Overall
#3  Spatial DBMS
Score0.28
Rank#306  Overall
#44  Key-value stores
Websitedruid.apache.orgwww.ibm.com/­products/­db2-event-storewww.percona.com/­mongodb/­software/­percona-server-for-mongodbwww.gaia-gis.it/­fossil/­libspatialite/­indexyottadb.com
Technical documentationdruid.apache.org/­docs/­latest/­designwww.ibm.com/­docs/­en/­db2-event-storedocs.percona.com/­percona-distribution-for-mongodbwww.gaia-gis.it/­gaia-sins/­spatialite_topics.htmlyottadb.com/­resources/­documentation
DeveloperApache Software Foundation and contributorsIBMPerconaAlessandro FurieriYottaDB, LLC
Initial release20122017201520082001
Current release29.0.1, April 20242.03.4.10-2.10, November 20175.0.0, August 2020
License infoCommercial or Open SourceOpen Source infoApache license v2commercial infofree developer edition availableOpen Source infoGPL Version 2Open Source infoMPL 1.1, GPL v2.0 or LGPL v2.1Open Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++C++C++C
Server operating systemsLinux
OS X
Unix
Linux infoLinux, macOS, Windows for the developer additionLinuxserver-lessDocker
Linux
Data schemeyes infoschema-less columns are supportedyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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 indexesyesnoyesyesno
SQL infoSupport of SQLSQL for queryingyes infothrough the embedded Spark runtimenoyesby using the Octo plugin
APIs and other access methodsJDBC
RESTful HTTP/JSON API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
proprietary protocol using JSONPostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresnoyesJavaScriptno
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesActive-active shard replicationSource-replica replicationnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infovia In-Memory Engineyesyes
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-standardAccess rights for users and rolesnoUsers and groups based on OS-security mechanisms

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More resources
Apache DruidIBM Db2 Event StorePercona Server for MongoDBSpatiaLiteYottaDB
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