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DBMS > Amazon CloudSearch vs. Blueflood vs. EXASOL vs. GreptimeDB vs. Teradata Aster

System Properties Comparison Amazon CloudSearch vs. Blueflood vs. EXASOL vs. GreptimeDB vs. Teradata Aster

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonBlueflood  Xexclude from comparisonEXASOL  Xexclude from comparisonGreptimeDB  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudScalable TimeSeries DBMS based on CassandraHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.An open source Time Series DBMS built for increased scalability, high performance and efficiencyPlatform for big data analytics on multistructured data sources and types
Primary database modelSearch engineTime Series DBMSRelational DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#137  Overall
#12  Search engines
Score0.06
Rank#353  Overall
#34  Time Series DBMS
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score0.06
Rank#352  Overall
#33  Time Series DBMS
Websiteaws.amazon.com/­cloudsearchblueflood.iowww.exasol.comgreptime.com
Technical documentationdocs.aws.amazon.com/­cloudsearchgithub.com/­rax-maas/­blueflood/­wikiwww.exasol.com/­resourcesdocs.greptime.com
DeveloperAmazonRackspaceExasolGreptime Inc.Teradata
Initial release20122013200020222005
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaRust
Server operating systemshostedLinux
OS X
Android
Docker
FreeBSD
Linux
macOS
Windows
Linux
Data schemeyespredefined schemeyesschema-free, schema definition possibleFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nononoyes infoin Aster File Store
Secondary indexesyes infoall search fields are automatically indexednoyesyesyes
SQL infoSupport of SQLnonoyesyesyes
APIs and other access methodsHTTP APIHTTP REST.Net
JDBC
ODBC
WebSocket
gRPC
HTTP API
JDBC
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesJava
Lua
Python
R
C++
Erlang
Go
Java
JavaScript
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnonouser defined functionsPythonR packages
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredSharding infobased on CassandraShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSselectable replication factor infobased on Cassandrayes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoHadoop integrationnoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlauthentication via encrypted signaturesnoAccess rights for users, groups and roles according to SQL-standardSimple rights management via user accountsfine grained access rights according to SQL-standard
More information provided by the system vendor
Amazon CloudSearchBluefloodEXASOLGreptimeDBTeradata Aster
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Amazon CloudSearchBluefloodEXASOLGreptimeDBTeradata Aster
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