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DBMS > Oracle Coherence vs. Snowflake vs. SwayDB vs. TDengine vs. Vitess

System Properties Comparison Oracle Coherence vs. Snowflake vs. SwayDB vs. TDengine vs. Vitess

Editorial information provided by DB-Engines
NameOracle Coherence  Xexclude from comparisonSnowflake  Xexclude from comparisonSwayDB  Xexclude from comparisonTDengine  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionOracles in-memory data grid solutionCloud-based data warehousing service for structured and semi-structured dataAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storageTime Series DBMS and big data platformScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelKey-value storeRelational DBMSKey-value storeTime Series DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#129  Overall
#22  Key-value stores
Score130.36
Rank#8  Overall
#5  Relational DBMS
Score0.04
Rank#387  Overall
#61  Key-value stores
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitewww.oracle.com/­java/­coherencewww.snowflake.comswaydb.simer.augithub.com/­taosdata/­TDengine
tdengine.com
vitess.io
Technical documentationdocs.oracle.com/­en/­middleware/­standalone/­coherencedocs.snowflake.net/­manuals/­index.htmldocs.tdengine.comvitess.io/­docs
DeveloperOracleSnowflake Computing Inc.Simer PlahaTDEngine, previously Taos DataThe Linux Foundation, PlanetScale
Initial release20072014201820192013
Current release14.1, August 20233.0, August 202215.0.2, December 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGNU Affero GPL V3.0Open Source infoAGPL V3, also commercial editions availableOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScalaCGo
Server operating systemsAll OS with a Java VMhostedLinux
Windows
Docker
Linux
macOS
Data schemeschema-freeyes infosupport of semi-structured data formats (JSON, XML, Avro)schema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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.noyesnono
Secondary indexesnononoyes
SQL infoSupport of SQLnoyesnoStandard SQL with extensions for time-series applicationsyes infowith proprietary extensions
APIs and other access methodsJCache
JPA
RESTful HTTP API
CLI Client
JDBC
ODBC
JDBC
RESTful HTTP API
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languages.Net
C++
Java
JavaScript (Node.js)
Python
Java
Kotlin
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnouser defined functionsnonoyes infoproprietary syntax
Triggersyes infoLive Eventsno infosimilar concept for controling cloud resourcesnoyes, via alarm monitoringyes
Partitioning methods infoMethods for storing different data on different nodesShardingyesnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with selectable consistency levelyesnoneyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynoyesnonoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataconfigurableACIDAtomic execution of operationsACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyes infooptionallyyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlauthentification to access the cache via certificates or http basic authenticationUsers with fine-grained authorization concept, user roles and pluggable authenticationnoyesUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
Oracle CoherenceSnowflakeSwayDBTDengineVitess
Specific characteristicsTDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
News

Streamlining Time-Series Data Management with TDengine’s PostgreSQL Connector
12 June 2024

Enhancing IoT and Industrial Data Management with TDengine’s MySQL Connector
12 June 2024

Comprehensive Comparison Between TDengine and MongoDB
6 June 2024

Comprehensive Comparison Between TDengine and TimescaleDB
5 June 2024

Mastering Memory Leak Detection in TDengine
31 May 2024

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

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3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
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More resources
Oracle CoherenceSnowflakeSwayDBTDengineVitess
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

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Recent citations in the news

Create custom Event Compression Policies in Enterprise Manager to reduce event noise
21 September 2023, Oracle

Microservices with Major New Coherence and Helidon Releases
9 August 2022, Oracle

Turkcell: Processing 70 million messages per day with Coherence and WebLogic
4 January 2013, Oracle

Nike achieves scalability and performance with Oracle Coherence & Exadata
20 December 2012, Oracle

Oracle releases free open source Oracle Coherence community edition
28 June 2020, iTWire

provided by Google News

Lessons from the Snowflake Breaches
12 June 2024, The Hacker News

Mandiant Report: Snowflake Users Targeted for Data Theft and Extortion
12 June 2024, TechRepublic

Truist Bank says breach of customer data is unrelated to Snowflake
14 June 2024, SC Media

Pure Storage pwned, claims data plundered by crims who broke into Snowflake workspace
11 June 2024, The Register

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

provided by Google News

TDengine named Top Global Industrial Data Management Solution
4 January 2024, IT Brief Australia

TDengine debuts cloud-based time-series data processing platform for IoT deployments
20 September 2022, SiliconANGLE News

New TDengine Benchmark Results Show Up to 37.0x Higher Query Performance Than InfluxDB and TimescaleDB
28 February 2023, Yahoo Finance

TDengine Brings Open Source Time-Series Database to Kubernetes
23 August 2022, Cloud Native Now

Comparing Different Time-Series Databases
10 February 2022, hackernoon.com

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PlanetScale Unveils Distributed MySQL Database Service Based on Vitess
18 May 2021, Datanami

They scaled YouTube -- now they’ll shard everyone with PlanetScale
13 December 2018, TechCrunch

With Vitess 4.0, database vendor matures cloud-native platform
13 November 2019, TechTarget

Massively Scaling MySQL Using Vitess
19 February 2019, InfoQ.com

PlanetScale offers undo button to reverse schema migration without losing data
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