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DBMS > ArcadeDB vs. Snowflake vs. STSdb vs. TimescaleDB

System Properties Comparison ArcadeDB vs. Snowflake vs. STSdb vs. TimescaleDB

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Editorial information provided by DB-Engines
NameArcadeDB  Xexclude from comparisonSnowflake  Xexclude from comparisonSTSdb  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionFast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewrittenCloud-based data warehousing service for structured and semi-structured dataKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelDocument store
Graph DBMS
Key-value store
Time Series DBMS infoin next version
Relational DBMSKey-value storeTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.10
Rank#358  Overall
#48  Document stores
#38  Graph DBMS
#52  Key-value stores
#35  Time Series DBMS
Score130.36
Rank#8  Overall
#5  Relational DBMS
Score0.10
Rank#357  Overall
#51  Key-value stores
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Websitearcadedb.comwww.snowflake.comgithub.com/­STSSoft/­STSdb4www.timescale.com
Technical documentationdocs.arcadedb.comdocs.snowflake.net/­manuals/­index.htmldocs.timescale.com
DeveloperArcade DataSnowflake Computing Inc.STS Soft SCTimescale
Initial release2021201420112017
Current releaseSeptember 20214.0.8, September 20152.15.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoGPLv2, commercial license availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC#C
Server operating systemsAll OS with a Java VMhostedWindowsLinux
OS X
Windows
Data schemeschema-freeyes infosupport of semi-structured data formats (JSON, XML, Avro)yesyes
Typing infopredefined data types such as float or dateyesyesyes infoprimitive types and user defined types (classes)numerics, 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.noyesyes
Secondary indexesyesnoyes
SQL infoSupport of SQLSQL-like query language, no joinsyesnoyes infofull PostgreSQL SQL syntax
APIs and other access methodsJDBC
MongoDB API
OpenCypher
PostgreSQL wire protocol
Redis API
RESTful HTTP/JSON API
TinkerPop Gremlin
CLI Client
JDBC
ODBC
.NET Client APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesJavaJavaScript (Node.js)
Python
C#
Java
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresuser defined functionsnouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersno infosimilar concept for controling cloud resourcesnoyes
Partitioning methods infoMethods for storing different data on different nodesyesnoneyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesnoneSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes inforelationship in graphsyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationnofine grained access rights according to SQL-standard

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More resources
ArcadeDBSnowflakeSTSdbTimescaleDB
DB-Engines blog posts

Snowflake is the DBMS of the Year 2022, defending the title from last year
3 January 2023, Matthias Gelbmann, Paul Andlinger

Snowflake is the DBMS of the Year 2021
3 January 2022, Paul Andlinger, Matthias Gelbmann

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Recent citations in the news

The Snowflake Attack May Be Turning Into One of the Largest Data Breaches Ever
6 June 2024, WIRED

Hackers steal “significant volume” of data from hundreds of Snowflake customers
10 June 2024, Ars Technica

Mandiant says hackers stole a 'significant volume of data' from Snowflake customers
10 June 2024, TechCrunch

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Ticketmaster's Snowflake data breach was just one of 165
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TimescaleDB Is a Vector Database Now, Too
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4 April 2024, PR Newswire

Power IoT and time-series workloads with TimescaleDB for Azure Database for PostgreSQL
18 March 2019, Microsoft

Timescale Valuation Rockets to Over $1B with $110M Round, Marking the Explosive Rise of Time-Series Data
22 February 2022, Business Wire

TimescaleDB goes distributed; implements ‘Chunking’ over ‘Sharding’ for scaling-out
22 August 2019, Packt Hub

provided by Google News



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