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DBMS > Cassandra vs. Datastax Enterprise vs. LevelDB

System Properties Comparison Cassandra vs. Datastax Enterprise vs. LevelDB

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Editorial information provided by DB-Engines
NameCassandra  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonLevelDB  Xexclude from comparison
DescriptionWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessDataStax 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 values
Primary database modelWide column storeWide column storeKey-value store
Secondary database modelsVector DBMS infostarting with release V5Document store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score109.27
Rank#12  Overall
#1  Wide column stores
Score7.65
Rank#56  Overall
#4  Wide column stores
Score3.51
Rank#100  Overall
#18  Key-value stores
Websitecassandra.apache.orgwww.datastax.com/­products/­datastax-enterprisegithub.com/­google/­leveldb
Technical documentationcassandra.apache.org/­doc/­latestdocs.datastax.comgithub.com/­google/­leveldb/­blob/­main/­doc/­index.md
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookDataStaxGoogle
Initial release200820112011
Current release4.1.3, July 20236.8, April 20201.23, February 2021
License infoCommercial or Open SourceOpen Source infoApache version 2commercialOpen 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.
Astra DB: Multi-cloud DBaaS built on Apache Cassandra.Datastax Astra DB: Astra DB simplifies cloud-native Cassandra application development for your apps, microservices and functions. Deploy in minutes on AWS, Google Cloud, Azure, and have it managed for you by the experts, with serverless, pay-as-you-go pricing.
Implementation languageJavaJavaC++
Server operating systemsBSD
Linux
OS X
Windows
Linux
OS X
Illumos
Linux
OS X
Windows
Data schemeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesno
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.nonono
Secondary indexesrestricted infoonly equality queries, not always the best performing solutionyesno
SQL infoSupport of SQLSQL-like SELECT, DML and DDL statements (CQL)SQL-like DML and DDL statements (CQL); Spark SQLno
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
Supported programming languagesC#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
C
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
Server-side scripts infoStored proceduresnonono
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"Sharding infono "single point of failure"none
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoRepresentation of geographical distribution of servers is possibleconfigurable replication factor, datacenter aware, advanced replication for edge computingnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate 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 operationsno infoAtomicity and isolation are supported for single operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users can be defined per objectAccess rights for users can be defined per objectno
More information provided by the system vendor
CassandraDatastax EnterpriseLevelDB
Specific characteristicsApache Cassandra is the leading NoSQL, distributed database management system, well...
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DataStax Enterprise is scale-out data infrastructure for enterprises that need to...
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Competitive advantagesNo single point of failure ensures 100% availability . Operational simplicity for...
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Supporting the following application requirements: Zero downtime - Built on Apache...
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Typical application scenariosInternet of Things (IOT), fraud detection applications, recommendation engines, product...
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Applications that must be massively and linearly scalable with 100% uptime and able...
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Key customersApple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
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Capital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
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Market metricsCassandra is used by 40% of the Fortune 100.
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Among the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
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Licensing and pricing modelsApache license  Pricing for commercial distributions provided by DataStax and available...
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Annual subscription
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