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DBMS > Amazon Redshift vs. EventStoreDB vs. Raima Database Manager vs. TDengine

System Properties Comparison Amazon Redshift vs. EventStoreDB vs. Raima Database Manager vs. TDengine

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonEventStoreDB  Xexclude from comparisonRaima Database Manager infoformerly named db_Vista  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsIndustrial-strength, open-source database solution built from the ground up for event sourcing.RDBMS with a small footprint, either embedded into an application or used as a database serverTime Series DBMS and big data platform
Primary database modelRelational DBMSEvent StoreRelational DBMS
Time Series DBMS
Time Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.94
Rank#34  Overall
#21  Relational DBMS
Score1.10
Rank#179  Overall
#1  Event Stores
Score0.46
Rank#259  Overall
#120  Relational DBMS
#22  Time Series DBMS
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Websiteaws.amazon.com/­redshiftwww.eventstore.comraima.comgithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationdocs.aws.amazon.com/­redshiftdevelopers.eventstore.comdocs.raima.comdocs.tdengine.com
DeveloperAmazon (based on PostgreSQL)Event Store LimitedRaima Inc.TDEngine, previously Taos Data
Initial release2012201219842019
Current release21.2, February 202115, June 20213.0, August 2022
License infoCommercial or Open SourcecommercialOpen SourcecommercialOpen Source infoAGPL V3, also commercial editions available
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 languageCCC
Server operating systemshostedLinux
Windows
Android
HP-UX
Integrity RTOS
iOS
Linux
OS X
QNX
Solaris
VxWorks
Windows
Linux
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.nono infoExporting/Importing of XML structures possibleno
Secondary indexesrestrictedyesno
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardyesStandard SQL with extensions for time-series applications
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
ODBC
RESTful HTTP API
JDBC
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C++
Objective-C
PL/SQL
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresuser defined functions infoin Pythonyes infobased on the ANSI/ISO SQL Persistent Stored Modules (PSM) specificationno
Triggersnoyesyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoyes
More information provided by the system vendor
Amazon RedshiftEventStoreDBRaima Database Manager infoformerly named db_VistaTDengine
Specific characteristicsRaima Database Manager (RDM) is an embedded time-series database optimized to run...
» more
TDengineā„¢ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesDecreased time-to-market Industry-standard interfaces & tools for making your job...
» more
High Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTypical use cases include: Internet of Things (IoT) Embedded In-Memory Database Time-Series...
» more
TDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Key customersInfor, ABB, The Boeing Company, BAE Systems, Dow Jones, Dun & Bradstreet, Fujitsu,...
» more
Market metricsOver 30 000 applications developers worldwide have field-tested RDM products More...
» more
TDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsJust as the technical aspects of Raima Database Manager are flexible, so are the...
» more
TDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
News

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8 October 2020

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We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Amazon RedshiftEventStoreDBRaima Database Manager infoformerly named db_VistaTDengine
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