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DBMS > Google Cloud Bigtable vs. Graphite vs. KeyDB vs. Prometheus vs. Sadas Engine

System Properties Comparison Google Cloud Bigtable vs. Graphite vs. KeyDB vs. Prometheus vs. Sadas Engine

Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonGraphite  Xexclude from comparisonKeyDB  Xexclude from comparisonPrometheus  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Data logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsOpen-source Time Series DBMS and monitoring systemSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelKey-value store
Wide column store
Time Series DBMSKey-value storeTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score4.83
Rank#67  Overall
#4  Time Series DBMS
Score0.70
Rank#229  Overall
#32  Key-value stores
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score0.07
Rank#373  Overall
#157  Relational DBMS
Websitecloud.google.com/­bigtablegithub.com/­graphite-project/­graphite-webgithub.com/­Snapchat/­KeyDB
keydb.dev
prometheus.iowww.sadasengine.com
Technical documentationcloud.google.com/­bigtable/­docsgraphite.readthedocs.iodocs.keydb.devprometheus.io/­docswww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperGoogleChris DavisEQ Alpha Technology Ltd.SADAS s.r.l.
Initial release20152006201920152006
Current release8.0
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoBSD-3Open Source infoApache 2.0commercial infofree trial version available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonC++GoC++
Server operating systemshostedLinux
Unix
LinuxLinux
Windows
AIX
Linux
Windows
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or datenoNumeric data onlypartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesNumeric data onlyyes
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.nononono infoImport of XML data possibleno
Secondary indexesnonoyes infoby using the Redis Search modulenoyes
SQL infoSupport of SQLnonononoyes
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP API
Sockets
Proprietary protocol infoRESP - REdis Serialization ProtocoRESTful HTTP/JSON APIJDBC
ODBC
Proprietary protocol
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
JavaScript (Node.js)
Python
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
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresnonoLuanono
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesnoneMulti-source replication
Source-replica replication
yes infoby Federationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)noneEventual Consistency
Strong eventual consistency with CRDTs
noneImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnoOptimistic locking, atomic execution of commands blocks and scriptsno
Concurrency infoSupport for concurrent manipulation of datayesyes infolockingyesyesyes
Durability infoSupport for making data persistentyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)nosimple password-based access control and ACLnoAccess rights for users, groups and roles according to SQL-standard

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More resources
Google Cloud BigtableGraphiteKeyDBPrometheusSadas Engine
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