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DBMS > BigObject vs. Cachelot.io vs. Databricks vs. KeyDB vs. TDengine

System Properties Comparison BigObject vs. Cachelot.io vs. Databricks vs. KeyDB vs. TDengine

Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonCachelot.io  Xexclude from comparisonDatabricks  Xexclude from comparisonKeyDB  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesIn-memory caching systemThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.An ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsTime Series DBMS and big data platform
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedKey-value storeDocument store
Relational DBMS
Key-value storeTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.71
Rank#226  Overall
#33  Key-value stores
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Websitebigobject.iocachelot.iowww.databricks.comgithub.com/­Snapchat/­KeyDB
keydb.dev
github.com/­taosdata/­TDengine
tdengine.com
Technical documentationdocs.bigobject.iodocs.databricks.comdocs.keydb.devdocs.tdengine.com
DeveloperBigObject, Inc.DatabricksEQ Alpha Technology Ltd.TDEngine, previously Taos Data
Initial release20152015201320192019
Current release3.0, August 2022
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoSimplified BSD LicensecommercialOpen Source infoBSD-3Open Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++C
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
FreeBSD
Linux
OS X
hostedLinuxLinux
Windows
Data schemeyesschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-freeyes
Typing infopredefined data types such as float or dateyesnopartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyes
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.nonoyesnono
Secondary indexesyesnoyesyes infoby using the Redis Search moduleno
SQL infoSupport of SQLSQL-like DML and DDL statementsnowith Databricks SQLnoStandard SQL with extensions for time-series applications
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
Memcached protocolJDBC
ODBC
RESTful HTTP API
Proprietary protocol infoRESP - REdis Serialization ProtocoJDBC
RESTful HTTP API
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
Python
R
Scala
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresLuanouser defined functions and aggregatesLuano
Triggersnononoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneyesMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnonenoneImmediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDOptimistic locking, atomic execution of commands blocks and scripts
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyesyes
Durability infoSupport for making data persistentyesnoyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlnonosimple password-based access control and ACLyes
More information provided by the system vendor
BigObjectCachelot.ioDatabricksKeyDBTDengine
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
» more
TDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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More resources
BigObjectCachelot.ioDatabricksKeyDBTDengine
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