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DBMS > CrateDB vs. ScyllaDB vs. Teradata vs. Trafodion

System Properties Comparison CrateDB vs. ScyllaDB vs. Teradata vs. Trafodion

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Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonScyllaDB  Xexclude from comparisonTeradata  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionDistributed Database based on LuceneCassandra and DynamoDB compatible wide column storeA hybrid cloud data analytics software platform (Teradata Vantage)Transactional SQL-on-Hadoop DBMS
Primary database modelDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Wide column storeRelational DBMSRelational DBMS
Secondary database modelsRelational DBMSKey-value storeDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.73
Rank#224  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#8  Vector DBMS
Score4.75
Rank#68  Overall
#5  Wide column stores
Score45.33
Rank#21  Overall
#15  Relational DBMS
Websitecratedb.comwww.scylladb.comwww.teradata.comtrafodion.apache.org
Technical documentationcratedb.com/­docsdocs.scylladb.comdocs.teradata.comtrafodion.apache.org/­documentation.html
DeveloperCrateScyllaDBTeradataApache Software Foundation, originally developed by HP
Initial release2013201519842014
Current releaseScyllaDB Open Source 5.4.1, January 2024Teradata Vantage 1.0 MU2, January 20192.3.0, February 2019
License infoCommercial or Open SourceOpen SourceOpen Source infoOpen Source (AGPL), commercial license availablecommercialOpen Source infoApache 2.0
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.
CrateDB Cloud: a distributed SQL database that spreads data and processing across an elastic cluster of shared nothing nodes. CrateDB Cloud enables data insights at scale on Microsoft Azure, AWS and Google Cloud Platform.Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageJavaC++C++, Java
Server operating systemsAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportLinuxhosted
Linux
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 SQLyes, but no triggers and constraints, and PostgreSQL compatibilitySQL-like DML and DDL statements (CQL)yes infoSQL 2016 + extensionsyes
APIs and other access methodsADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
Proprietary 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
ADO.NET
JDBC
ODBC
Supported programming languages.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
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
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresuser defined functions (Javascript)yes, Luayes infoUDFs, stored procedures, table functions in parallelJava Stored Procedures
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoHashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesConfigurable replication on table/partition-levelselectable replication factor infoRepresentation of geographical distribution of servers is possibleMulti-source replication
Source-replica replication
yes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Read-after-write consistency on record level
Eventual 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 datano infounique row identifiers can be used for implementing an optimistic concurrency control strategyno 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.noyes infoin-memory tablesyesno
User concepts infoAccess controlrights management via user 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
CrateDBScyllaDBTeradataTrafodion
Specific characteristicsThe enterprise database for time series, documents, and vectors. Distributed - Native...
» more
ScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
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Competitive advantagesResponse time in milliseconds: e ven for complex ad-hoc queries. Massive scaling...
» more
Highly-performant (efficiently utilizes full resources of a node and network; millions...
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Typical application scenarios​ IoT: accelerate your IIoT projects with CrateDB, delivering real-time analytics...
» more
ScyllaDB is ideal for applications that require high throughput and low latency at...
» more
Key customersAcross all continents, CrateDB is used by companies of all sizes to meet the most...
» more
Discord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» more
Market metricsThe CrateDB open source project was started in 2013 Honorable Mention in 2021 Gartner®...
» more
ScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» more
Licensing and pricing modelsSee CrateDB pricing >
» more
ScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more

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

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More resources
CrateDBScyllaDBTeradataTrafodion
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