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DBMS > Amazon CloudSearch vs. Bangdb vs. Blueflood vs. EXASOL vs. GreptimeDB

System Properties Comparison Amazon CloudSearch vs. Bangdb vs. Blueflood vs. EXASOL vs. GreptimeDB

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonBangdb  Xexclude from comparisonBlueflood  Xexclude from comparisonEXASOL  Xexclude from comparisonGreptimeDB  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudConverged and high performance database for device data, events, time series, document and graphScalable 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 efficiency
Primary database modelSearch engineDocument store
Graph DBMS
Time Series DBMS
Time Series DBMSRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#137  Overall
#12  Search engines
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
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/­cloudsearchbangdb.comblueflood.iowww.exasol.comgreptime.com
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.bangdb.comgithub.com/­rax-maas/­blueflood/­wikiwww.exasol.com/­resourcesdocs.greptime.com
DeveloperAmazonSachin Sinha, BangDBRackspaceExasolGreptime Inc.
Initial release20122012201320002022
Current releaseBangDB 2.0, October 2021
License infoCommercial or Open SourcecommercialOpen Source infoBSD 3Open Source infoApache 2.0commercialOpen Source infoApache Version 2.0
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 languageC, C++JavaRust
Server operating systemshostedLinuxLinux
OS X
Android
Docker
FreeBSD
Linux
macOS
Windows
Data schemeyesschema-freepredefined schemeyesschema-free, schema definition possible
Typing infopredefined data types such as float or dateyesyes: string, long, double, int, geospatial, stream, eventsyesyesyes
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.nononono
Secondary indexesyes infoall search fields are automatically indexedyes infosecondary, composite, nested, reverse, geospatialnoyesyes
SQL infoSupport of SQLnoSQL like support with command line toolnoyesyes
APIs and other access methodsHTTP APIProprietary protocol
RESTful HTTP API
HTTP REST.Net
JDBC
ODBC
WebSocket
gRPC
HTTP API
JDBC
Supported programming languagesC
C#
C++
Java
Python
Java
Lua
Python
R
C++
Erlang
Go
Java
JavaScript
Server-side scripts infoStored proceduresnononouser defined functionsPython
Triggersnoyes, Notifications (with Streaming only)noyes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmSharding infobased on CassandraShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSselectable replication factor, Knob for CAP (enterprise version only)selectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoHadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, run db with in-memory only modenoyes
User concepts infoAccess controlauthentication via encrypted signaturesyes (enterprise version only)noAccess rights for users, groups and roles according to SQL-standardSimple rights management via user accounts
More information provided by the system vendor
Amazon CloudSearchBangdbBluefloodEXASOLGreptimeDB
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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More resources
Amazon CloudSearchBangdbBluefloodEXASOLGreptimeDB
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