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DBMS > Amazon CloudSearch vs. Ehcache vs. FeatureBase vs. TimescaleDB

System Properties Comparison Amazon CloudSearch vs. Ehcache vs. FeatureBase vs. TimescaleDB

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonEhcache  Xexclude from comparisonFeatureBase  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudA widely adopted Java cache with tiered storage optionsReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.A time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelSearch engineKey-value storeRelational DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.86
Rank#133  Overall
#12  Search engines
Score4.79
Rank#66  Overall
#8  Key-value stores
Score0.23
Rank#296  Overall
#134  Relational DBMS
Score4.06
Rank#73  Overall
#5  Time Series DBMS
Websiteaws.amazon.com/­cloudsearchwww.ehcache.orgwww.featurebase.comwww.timescale.com
Technical documentationdocs.aws.amazon.com/­cloudsearchwww.ehcache.org/­documentationdocs.featurebase.comdocs.timescale.com
DeveloperAmazonTerracotta Inc, owned by Software AGMolecula and Pilosa Open Source ContributorsTimescale
Initial release2012200920172017
Current release3.10.0, March 20222022, May 20222.15.0, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoC
Server operating systemshostedAll OS with a Java VMLinux
macOS
Linux
OS X
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.nonoyes
Secondary indexesyes infoall search fields are automatically indexednonoyes
SQL infoSupport of SQLnonoSQL queriesyes infofull PostgreSQL SQL syntax
APIs and other access methodsHTTP APIJCachegRPC
JDBC
Kafka Connector
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesJavaJava
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnonouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnoyes infoCache Event Listenersnoyes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredSharding infoby using Terracotta ServerShardingyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSyes infoby using Terracotta ServeryesSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes infosupports JTA and can work as an XA resourceyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing a tiered cache-storage approachyes, using Linux fsyncyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlauthentication via encrypted signaturesnofine grained access rights according to SQL-standard

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More resources
Amazon CloudSearchEhcacheFeatureBaseTimescaleDB
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