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DBMS > Apache Cassandra vs. CrateDB vs. Google Cloud Spanner

System Properties Comparison Apache Cassandra vs. CrateDB vs. Google Cloud Spanner

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Editorial information provided by DB-Engines
NameApache Cassandra  Xexclude from comparisonCrateDB  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparison
DescriptionWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessDistributed Database based on LuceneA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.
Primary database modelWide column storeDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Relational DBMS
Secondary database modelsVector DBMS infostarting with release V5Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score99.13
Rank#12  Overall
#1  Wide column stores
Score0.72
Rank#222  Overall
#37  Document stores
#5  Spatial DBMS
#15  Search engines
#18  Time Series DBMS
#10  Vector DBMS
Score2.77
Rank#100  Overall
#51  Relational DBMS
Websitecassandra.apache.orgcratedb.comcloud.google.com/­spanner
Technical documentationcassandra.apache.org/­doc/­latestcratedb.com/­docscloud.google.com/­spanner/­docs
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookCrateGoogle
Initial release200820132017
Current release5.0-rc1, July 2024
License infoCommercial or Open SourceOpen Source infoApache version 2Open Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
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 languageJavaJava
Server operating systemsBSD
Linux
OS X
Windows
All Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supporthosted
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateyesyesyes
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 solutionyesyes
SQL infoSupport of SQLSQL-like SELECT, DML and DDL statements (CQL)yes, but no triggers and constraints, and PostgreSQL compatibilityyes infoQuery statements complying to ANSI 2011
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
ADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
Supported programming languagesC#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnouser defined functions (Javascript)no
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"ShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoRepresentation of geographical distribution of servers is possibleConfigurable replication on table/partition-levelMulti-source replication with 3 replicas for regional instances.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infousing Google Cloud Dataflow
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Eventual Consistency
Read-after-write consistency on record level
Immediate Consistency
Foreign keys infoReferential integritynonoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrity
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsno infounique row identifiers can be used for implementing an optimistic concurrency control strategyACID infoStrict serializable isolation
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.nonono
User concepts infoAccess controlAccess rights for users can be defined per objectrights management via user accountsAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)
More information provided by the system vendor
Apache CassandraCrateDBGoogle Cloud Spanner
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...
» more
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...
» more
Market metricsApache Cassandra is used by 40% of the Fortune 100.
» more
Licensing and pricing modelsApache license  Pricing for commercial distributions provided by DataStax and available...
» more
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More resources
Apache CassandraCrateDBGoogle Cloud Spanner
Recent citations in the news

Unveiling Apache Cassandra 5.0: Innovations, Implications and Future Directions
17 July 2024, devm.io

Cassandra is the “best f*cking database for gen AI,” says DataStax CEO
13 December 2023, VentureBeat

Apache Cassandra 5.0: Answering Enterprises' Biggest Questions
15 July 2024, ITPro Today

NoSQL Database Growth Has Slowed, but AI Is Driving Demand
11 July 2024, The New Stack

How Uber ensures Apache Cassandra®’s tolerance for single-zone failure
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CrateDB Appoints Jeff Olson as New CRO
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Real-Time SQL Is What’s Making CrateDB Such A Hit In The IoT Market
16 July 2024, AIM

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19 February 2024, PR Newswire

How We Designed CrateDB as a Realtime SQL DBMS for the Internet of Things
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Google Improves Cloud Spanner: More Compute and Storage without Price Increase
14 October 2023, InfoQ.com

Google turns up the heat on AWS, claims Cloud Spanner is half the cost of DynamoDB
11 October 2023, TechCrunch

Google makes its Cloud Spanner database service faster and more cost-efficient
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provided by Google News



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