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DBMS > Cassandra vs. LevelDB vs. Vertica

System Properties Comparison Cassandra vs. LevelDB vs. Vertica

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Editorial information provided by DB-Engines
NameCassandra  Xexclude from comparisonLevelDB  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
DescriptionWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesColumnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance
Primary database modelWide column storeKey-value storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score119.28
Rank#10  Overall
#1  Wide column stores
Score2.90
Rank#98  Overall
#17  Key-value stores
Score20.31
Rank#35  Overall
#21  Relational DBMS
Websitecassandra.apache.orggithub.com/­google/­leveldbwww.vertica.com
Technical documentationcassandra.apache.org/­doc/­latestgithub.com/­google/­leveldb/­blob/­master/­doc/­index.mdwww.vertica.com/­docs/­10.0.x/­HTML/­Content/­Home.htm
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookGoogleVertica / Micro Focus infoprior to that Hewlett Packard
Initial release200820112005
Current release4.0.1, September 20211.23, February 2021Vertica 10.0 Software, May 2020
Vertica for SQL on Hadoop 10.0 Software, May 2020
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoBSDcommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenonono infoAvailable on all major clouds - Amazon AWS, Microsoft Azure and Google Cloud Platform
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.
Implementation languageJavaC++
Server operating systemsBSD
Linux
OS X
Windows
Illumos
Linux
OS X
Windows
Linux
Data schemeschema-freeschema-freeyes infoUnstructured data can be stored in specific Flex-Tables
Typing infopredefined data types such as float or dateyesnoyes
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.nonoyes
Secondary indexesrestricted infoonly equality queries, not always the best performing solutionnono infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLSQL-like SELECT, DML and DDL statements (CQL)noyes infonearly full SQL99 without support for indexes and triggers
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
ADO.NET
JDBC
Kafka
ODBC
Proprietary protocol
RESTful HTTP API
Supported programming languagesC#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C++
Java
Perl
Python
R
Server-side scripts infoStored proceduresnonoyes
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"noneSharding infoSegmentation, Projection Segmentation, Hash Segmentation
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoRepresentation of geographical distribution of servers is possiblenoneMulti-source replication infoCluster level and Object level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infowith Vertica Connector for Hadoop
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsnoACID
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.no
User concepts infoAccess controlAccess rights for users can be defined per objectnofine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
CassandraLevelDBVertica infoVertica Analytics Platform
Specific characteristicsApache Cassandra is the leading NoSQL, distributed database management system, well...
» more
Columnar storage, MPP, Hybrid storage model, Aggressive data compression, High availability,...
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Competitive advantagesNo single point of failure ensures 100% availability . Operational simplicity for...
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Performance at exabyte scale, Deploy anywhere, Open source innovation, Analysis in...
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Typical application scenariosInternet of Things (IOT), fraud detection applications, recommendation engines, product...
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Communication and network analytics, Embedded analytics, Fraud monitoring and Risk...
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Key customersApple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
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Abiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Market metricsCassandra is used by 40% of the Fortune 100.
» more
Licensing and pricing modelsApache license  Pricing for commercial distributions provided by DataStax and available...
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Cost-based models and subscription-based models are available
» more

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Related products and services
3rd partiesDataStax Enterprise: Apache Cassandra for enterprises.
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CData: Connect to Big Data & NoSQL through standard Drivers.
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Instaclustr: Hosted & Managed Apache Cassandra as a Service
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More resources
CassandraLevelDBVertica infoVertica Analytics Platform
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