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DBMS > Apache IoTDB vs. CockroachDB vs. Ehcache vs. Memcached vs. TimescaleDB

System Properties Comparison Apache IoTDB vs. CockroachDB vs. Ehcache vs. Memcached vs. TimescaleDB

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonCockroachDB  Xexclude from comparisonEhcache  Xexclude from comparisonMemcached  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkCockroachDB 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.A widely adopted Java cache with tiered storage optionsIn-memory key-value store, originally intended for cachingA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelTime Series DBMSRelational DBMSKey-value storeKey-value storeTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#159  Overall
#14  Time Series DBMS
Score4.74
Rank#67  Overall
#36  Relational DBMS
Score4.79
Rank#66  Overall
#8  Key-value stores
Score16.84
Rank#32  Overall
#4  Key-value stores
Score4.06
Rank#73  Overall
#5  Time Series DBMS
Websiteiotdb.apache.orgwww.cockroachlabs.comwww.ehcache.orgwww.memcached.orgwww.timescale.com
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.cockroachlabs.com/­docswww.ehcache.org/­documentationgithub.com/­memcached/­memcached/­wikidocs.timescale.com
DeveloperApache Software FoundationCockroach LabsTerracotta Inc, owned by Software AGDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalTimescale
Initial release20182015200920032017
Current release1.1.0, April 202324.1.0, May 20243.10.0, March 20221.6.29, June 20242.15.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0, commercial license availableOpen Source infoApache Version 2; commercial licenses availableOpen Source infoBSD licenseOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoJavaCC
Server operating systemsAll OS with a Java VM (>= 1.8)Linux
macOS
Windows
All OS with a Java VMFreeBSD
Linux
OS X
Unix
Windows
Linux
OS X
Windows
Data schemeyesdynamic schemaschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnonumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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 indexesyesyesnonoyes
SQL infoSupport of SQLSQL-like query languageyes, wire compatible with PostgreSQLnonoyes infofull PostgreSQL SQL syntax
APIs and other access methodsJDBC
Native API
JDBCJCacheProprietary protocolADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Java.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyesnononouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyesnoyes infoCache Event Listenersnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)horizontal 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 RAFTSharding infoby using Terracotta Servernoneyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasMulti-source replication using RAFTyes infoby using Terracotta Servernone infoRepcached, a Memcached patch, provides this functionallitySource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyTunable Consistency (Strong, Eventual, Weak)Immediate Consistency
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyes infosupports JTA and can work as an XA resourcenoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing a tiered cache-storage approachnoyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesno
User concepts infoAccess controlyesRole-based access controlnoyes infousing SASL (Simple Authentication and Security Layer) protocolfine grained access rights according to SQL-standard

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Apache IoTDBCockroachDBEhcacheMemcachedTimescaleDB
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