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DBMS > InterSystems Caché vs. LeanXcale vs. RocksDB

System Properties Comparison InterSystems Caché vs. LeanXcale vs. RocksDB

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Editorial information provided by DB-Engines
NameInterSystems Caché  Xexclude from comparisonLeanXcale  Xexclude from comparisonRocksDB  Xexclude from comparison
DescriptionA multi-model DBMS and application serverA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelKey-value store
Object oriented DBMS
Relational DBMS
Key-value store
Relational DBMS
Key-value store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.71
Rank#90  Overall
#17  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score0.31
Rank#261  Overall
#45  Key-value stores
#120  Relational DBMS
Score3.84
Rank#88  Overall
#15  Key-value stores
Websitewww.intersystems.com/­products/­cachewww.leanxcale.comrocksdb.org
Technical documentationdocs.intersystems.comgithub.com/­facebook/­rocksdb/­wiki
DeveloperInterSystemsLeanXcaleFacebook, Inc.
Initial release199720152013
Current release2017.2, October 20176.13.3, October 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemsAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Data schemedepending on used data modelyesschema-free
Typing infopredefined data types such as float or dateyesno
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.yesno
Secondary indexesyesno
SQL infoSupport of SQLyesyes infothrough Apache Derbyno
APIs and other access methods.NET Client API
JDBC
ODBC
RESTful HTTP API
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
C++ API
Java API
Supported programming languagesC#
C++
Java
C
Java
Scala
C++
Java
Server-side scripts infoStored proceduresyesno
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAccess rights for users, groups and rolesno
More information provided by the system vendor
InterSystems CachéLeanXcaleRocksDB
Specific characteristicsFull ACID and full SQL operational database with analytical queries over operational...
» more
Competitive advantagesLinear scalability upto 100s of nodes (tested with 100 nodes and TPC-C).
» more
Typical application scenariosHybrid Transactional-Analytical Processing (HTAP) requiring an operational database...
» more
Key customersbanking/finance/fintech, telco, insurance, traveltech, M2M/IoT, retail
» more
Market metrics15 beta testers
» more
Licensing and pricing modelsannual fee covering license and support based on number of physical cores
» 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
InterSystems CachéLeanXcaleRocksDB
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