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DBMS > Datastax Enterprise vs. LevelDB vs. RavenDB

System Properties Comparison Datastax Enterprise vs. LevelDB vs. RavenDB

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Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonLevelDB  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.Embeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelWide column storeKey-value storeDocument store
Secondary database modelsDocument store
Graph DBMS
Search engine
Graph DBMS infoexperimental
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.36
Rank#47  Overall
#4  Wide column stores
Score3.07
Rank#88  Overall
#16  Key-value stores
Score3.82
Rank#81  Overall
#14  Document stores
Websitewww.datastax.com/­products/­datastax-enterprisegithub.com/­google/­leveldbravendb.net
Technical documentationdocs.datastax.comgithub.com/­google/­leveldb/­blob/­master/­doc/­index.mdravendb.net/­docs
DeveloperDataStaxGoogleHibernating Rhinos
Initial release201120112010
Current release6.8, April 20201.22, May 20194.2, May 2019
License infoCommercial or Open SourcecommercialOpen Source infoBSDOpen Source infoAGPL version 3, commercial license available
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 languageJavaC++C#
Server operating systemsLinux
OS X
Illumos
Linux
OS X
Windows
Linux
macOS
Raspberry Pi
Windows
Data schemeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnono
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.nono
Secondary indexesyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLnoSQL-like query language (RQL)
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
.NET Client API
Java Client API
Python Client API
RESTful HTTP API
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
C#
Go
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresnonoyes
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"noneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingnoneMulti-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infoMapReduce functions can be defined in Linq
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsnoACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAccess rights for users can be defined per objectnoAccess control on document level using the Authorization Bundle
More information provided by the system vendor
Datastax EnterpriseLevelDBRavenDB
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» 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
Datastax EnterpriseLevelDBRavenDB
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