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DBMS > openGemini vs. ScyllaDB vs. Teradata vs. Yaacomo

System Properties Comparison openGemini vs. ScyllaDB vs. Teradata vs. Yaacomo

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Editorial information provided by DB-Engines
NameopenGemini  Xexclude from comparisonScyllaDB  Xexclude from comparisonTeradata  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionAn open source distributed Time Series DBMS with high concurrency, high performance, and high scalabilityCassandra and DynamoDB compatible wide column storeA hybrid cloud data analytics software platform (Teradata Vantage)OpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelTime Series DBMSWide column storeRelational DBMSRelational DBMS
Secondary database modelsKey-value storeDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Score4.15
Rank#69  Overall
#5  Wide column stores
Score41.47
Rank#22  Overall
#15  Relational DBMS
Websitewww.opengemini.org
github.com/­openGemini
www.scylladb.comwww.teradata.comyaacomo.com
Technical documentationdocs.opengemini.org/­guidedocs.scylladb.comdocs.teradata.com
DeveloperHuawei and openGemini communityScyllaDBTeradataQ2WEB GmbH
Initial release2022201519842009
Current release1.1, July 2023ScyllaDB Open Source 6.0.2, July 2024Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoOpen Source (AGPL), commercial license availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageGoC++
Server operating systemsLinux
Windows
Linuxhosted
Linux
Android
Linux
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateInteger, Float, Boolean, Stringyesyesyes
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.nonoyesno
Secondary indexesyesyes infocluster global secondary indicesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexyes
SQL infoSupport of SQLSQL-like query languageSQL-like DML and DDL statements (CQL)yes infoSQL 2016 + extensionsyes
APIs and other access methodsHTTP RESTProprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
JDBC
ODBC
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Python
Rust
For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresnoyes, Luayes infoUDFs, stored procedures, table functions in parallel
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoHashinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infoRepresentation of geographical distribution of servers is possibleMulti-source replication
Source-replica 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
Tunable Consistency infocan be individually decided for each write operation
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoAtomicity and isolation are supported for single operationsACIDACID
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.yesyes infoin-memory tablesyesyes
User concepts infoAccess controlAdministrators and common users accountsAccess rights for users can be defined per objectfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
openGeminiScyllaDBTeradataYaacomo
Specific characteristicsScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» more
Competitive advantagesHighly-performant (efficiently utilizes full resources of a node and network; millions...
» more
Typical application scenariosScyllaDB is ideal for applications that require high throughput and low latency at...
» more
Key customersDiscord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» more
Market metricsScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» more
Licensing and pricing modelsScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more

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openGeminiScyllaDBTeradataYaacomo
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