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DBMS > InterSystems Caché vs. RocksDB vs. ScyllaDB vs. Trafodion

System Properties Comparison InterSystems Caché vs. RocksDB vs. ScyllaDB vs. Trafodion

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Editorial information provided by DB-Engines
NameInterSystems Caché  Xexclude from comparisonRocksDB  Xexclude from comparisonScyllaDB  Xexclude from comparisonTrafodion  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA multi-model DBMS and application serverEmbeddable persistent key-value store optimized for fast storage (flash and RAM)Cassandra and DynamoDB compatible wide column storeTransactional SQL-on-Hadoop DBMS
Primary database modelKey-value store
Object oriented DBMS
Relational DBMS
Key-value storeWide column storeRelational DBMS
Secondary database modelsDocument storeKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.84
Rank#97  Overall
#16  Key-value stores
Score4.15
Rank#69  Overall
#5  Wide column stores
Websitewww.intersystems.com/­products/­cacherocksdb.orgwww.scylladb.comtrafodion.apache.org
Technical documentationdocs.intersystems.comgithub.com/­facebook/­rocksdb/­wikidocs.scylladb.comtrafodion.apache.org/­documentation.html
DeveloperInterSystemsFacebook, Inc.ScyllaDBApache Software Foundation, originally developed by HP
Initial release1997201320152014
Current release2018.1.4, May 20209.4.0, June 2024ScyllaDB Open Source 6.0.2, July 20242.3.0, February 2019
License infoCommercial or Open SourcecommercialOpen Source infoBSDOpen Source infoOpen Source (AGPL), commercial license availableOpen 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.
Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageC++C++C++, Java
Server operating systemsAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
LinuxLinuxLinux
Data schemedepending on used data modelschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesyes
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.yesnonono
Secondary indexesyesnoyes infocluster global secondary indicesyes
SQL infoSupport of SQLyesnoSQL-like DML and DDL statements (CQL)yes
APIs and other access methods.NET Client API
JDBC
ODBC
RESTful HTTP API
C++ API
Java API
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
ADO.NET
JDBC
ODBC
Supported programming languagesC#
C++
Java
C
C++
Go
Java
Perl
Python
Ruby
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
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyesnoyes, LuaJava Stored Procedures
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesselectable replication factor infoRepresentation of geographical distribution of servers is possibleyes, 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 systemImmediate ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Immediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesno infoAtomicity and isolation are supported for single operationsACID
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.yesyesyes infoin-memory tablesno
User concepts infoAccess controlAccess rights for users, groups and rolesnoAccess rights for users can be defined per objectfine grained access rights according to SQL-standard
More information provided by the system vendor
InterSystems CachéRocksDBScyllaDBTrafodion
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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InterSystems CachéRocksDBScyllaDBTrafodion
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