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DBMS > Cassandra vs. Druid vs. Google Cloud Spanner

System Properties Comparison Cassandra vs. Druid vs. Google Cloud Spanner

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Editorial information provided by DB-Engines
NameCassandra  Xexclude from comparisonDruid  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparison
DescriptionWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessOpen-source analytics data store designed for OLAP queries on timeseries dataA 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 storeRelational DBMS
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score121.09
Rank#10  Overall
#1  Wide column stores
Score2.05
Rank#120  Overall
#58  Relational DBMS
#8  Time Series DBMS
Score2.37
Rank#109  Overall
#52  Relational DBMS
Websitecassandra.apache.orgdruid.apache.orgcloud.google.com/­spanner
Technical documentationcassandra.apache.org/­doc/­latestdruid.apache.org/­docs/­latest/­designcloud.google.com/­spanner/­docs
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookMetamarkets Group and contributorsGoogle
Initial release200820122017
Current release3.11.6, February 2020
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache license v2commercial
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.
Implementation languageJavaJava
Server operating systemsBSD
Linux
OS X
Windows
Linux
OS X
Unix
hosted
Data schemeschema-freeyes infoschema-less columns are supportedyes
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)SQL support via Apache Calcite adapteryes infoQuery statements complying to ANSI 2011
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
JSON over HTTPgRPC (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
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonono
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 possibleyes, via HDFS, S3 or other storage enginesMaster-Master 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
Immediate ConsistencyImmediate 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 operationsnoACID 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 objectno infoavailable via extensionsAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)
More information provided by the system vendor
CassandraDruidGoogle 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...
» more
Key customersApple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
» 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...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesDataStax Enterprise: Apache Cassandra for enterprises.
» more

Instaclustr: Fully Hosted and Managed Apache Cassandra
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DBHawk: Secure access to SQL, NoSQL and Cloud databases with an all-in-one solution.
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CData: Connect to Big Data & NoSQL through standard Drivers.
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More resources
CassandraDruidGoogle Cloud Spanner
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