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DBMS > Cassandra vs. Google Cloud Datastore vs. Kinetica vs. Snowflake

System Properties Comparison Cassandra vs. Google Cloud Datastore vs. Kinetica vs. Snowflake

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Editorial information provided by DB-Engines
NameCassandra  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonKinetica  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformFully vectorized database across both GPUs and CPUsCloud-based data warehousing service for structured and semi-structured data
Primary database modelWide column storeDocument storeRelational DBMSRelational DBMS
Secondary database modelsVector DBMS infostarting with release V5Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score103.86
Rank#12  Overall
#1  Wide column stores
Score4.49
Rank#79  Overall
#12  Document stores
Score0.69
Rank#234  Overall
#107  Relational DBMS
Score123.20
Rank#9  Overall
#6  Relational DBMS
Websitecassandra.apache.orgcloud.google.com/­datastorewww.kinetica.comwww.snowflake.com
Technical documentationcassandra.apache.org/­doc/­latestcloud.google.com/­datastore/­docsdocs.kinetica.comdocs.snowflake.net/­manuals/­index.html
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookGoogleKineticaSnowflake Computing Inc.
Initial release2008200820122014
Current release4.1.3, July 20237.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache version 2commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnoyes
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, C++
Server operating systemsBSD
Linux
OS X
Windows
hostedLinuxhosted
Data schemeschema-freeschema-freeyesyes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or dateyesyes, details hereyesyes
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.nononoyes
Secondary indexesrestricted infoonly equality queries, not always the best performing solutionyesyes
SQL infoSupport of SQLSQL-like SELECT, DML and DDL statements (CQL)SQL-like query language (GQL)SQL-like DML and DDL statementsyes
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
ODBC
RESTful HTTP API
CLI Client
JDBC
ODBC
Supported programming languagesC#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnousing Google App Engineuser defined functionsuser defined functions
TriggersyesCallbacks using the Google Apps Engineyes infotriggers when inserted values for one or more columns fall within a specified rangeno infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"ShardingShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoRepresentation of geographical distribution of servers is possibleMulti-source replication using PaxosSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyes infovia ReferenceProperties or Ancestor pathsyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsnoACID
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.nonoyes infoGPU vRAM or System RAMno
User concepts infoAccess controlAccess rights for users can be defined per objectAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users and roles on table levelUsers with fine-grained authorization concept, user roles and pluggable authentication
More information provided by the system vendor
CassandraGoogle Cloud DatastoreKineticaSnowflake
Specific characteristicsApache Cassandra is the leading NoSQL, distributed database management system, well...
» more
Competitive advantagesNo single point of failure ensures 100% availability . Operational simplicity for...
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Typical application scenariosInternet of Things (IOT), fraud detection applications, recommendation engines, product...
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Key customersApple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
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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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