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DBMS > Apache Druid vs. CockroachDB vs. RRDtool vs. Snowflake vs. STSdb

System Properties Comparison Apache Druid vs. CockroachDB vs. RRDtool vs. Snowflake vs. STSdb

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonCockroachDB  Xexclude from comparisonRRDtool  Xexclude from comparisonSnowflake  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.Industry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.Cloud-based data warehousing service for structured and semi-structured dataKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSTime Series DBMSRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score5.73
Rank#58  Overall
#34  Relational DBMS
Score1.90
Rank#132  Overall
#11  Time Series DBMS
Score130.36
Rank#8  Overall
#5  Relational DBMS
Score0.10
Rank#357  Overall
#51  Key-value stores
Websitedruid.apache.orgwww.cockroachlabs.comoss.oetiker.ch/­rrdtoolwww.snowflake.comgithub.com/­STSSoft/­STSdb4
Technical documentationdruid.apache.org/­docs/­latest/­designwww.cockroachlabs.com/­docsoss.oetiker.ch/­rrdtool/­docdocs.snowflake.net/­manuals/­index.html
DeveloperApache Software Foundation and contributorsCockroach LabsTobias OetikerSnowflake Computing Inc.STS Soft SC
Initial release20122015199920142011
Current release29.0.1, April 202424.1.0, May 20241.8.0, 20224.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache 2.0, commercial license availableOpen Source infoGPL V2 and FLOSScommercialOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoC infoImplementations in Java (e.g. RRD4J) and C# availableC#
Server operating systemsLinux
OS X
Unix
Linux
macOS
Windows
HP-UX
Linux
hostedWindows
Data schemeyes infoschema-less columns are supporteddynamic schemayesyes infosupport of semi-structured data formats (JSON, XML, Avro)yes
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyesyes infoprimitive types and user defined types (classes)
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 infoExporting into and restoring from XML files possibleyes
Secondary indexesyesyesnono
SQL infoSupport of SQLSQL for queryingyes, wire compatible with PostgreSQLnoyesno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBCin-process shared library
Pipes
CLI Client
JDBC
ODBC
.NET Client API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
JavaScript (Node.js)
Python
C#
Java
Server-side scripts infoStored proceduresnononouser defined functionsno
Triggersnononono infosimilar concept for controling cloud resourcesno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedhorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTnoneyesnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesMulti-source replication using RAFTnoneyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoby using the rrdcached daemonyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemRole-based access controlnoUsers with fine-grained authorization concept, user roles and pluggable authenticationno

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More resources
Apache DruidCockroachDBRRDtoolSnowflakeSTSdb
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