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DBMS > Amazon CloudSearch vs. Apache Druid vs. IBM Db2 Event Store vs. Warp 10

System Properties Comparison Amazon CloudSearch vs. Apache Druid vs. IBM Db2 Event Store vs. Warp 10

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonApache Druid  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudOpen-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 casesTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelSearch engineRelational DBMS
Time Series DBMS
Event Store
Time Series DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#137  Overall
#12  Search engines
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websiteaws.amazon.com/­cloudsearchdruid.apache.orgwww.ibm.com/­products/­db2-event-storewww.warp10.io
Technical documentationdocs.aws.amazon.com/­cloudsearchdruid.apache.org/­docs/­latest/­designwww.ibm.com/­docs/­en/­db2-event-storewww.warp10.io/­content/­02_Getting_started
DeveloperAmazonApache Software Foundation and contributorsIBMSenX
Initial release2012201220172015
Current release29.0.1, April 20242.0
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2commercial infofree developer edition availableOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++Java
Server operating systemshostedLinux
OS X
Unix
Linux infoLinux, macOS, Windows for the developer additionLinux
OS X
Windows
Data schemeyesyes infoschema-less columns are supportedyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyes infoall search fields are automatically indexedyesnono
SQL infoSupport of SQLnoSQL for queryingyes infothrough the embedded Spark runtimeno
APIs and other access methodsHTTP APIJDBC
RESTful HTTP/JSON API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
HTTP API
Jupyter
WebSocket
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
Server-side scripts infoStored proceduresnonoyesyes infoWarpScript
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredSharding infomanual/auto, time-basedShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSyes, via HDFS, S3 or other storage enginesActive-active shard replicationselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutableyes
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlauthentication via encrypted signaturesRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemfine grained access rights according to SQL-standardMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
Amazon CloudSearchApache DruidIBM Db2 Event StoreWarp 10
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