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DBMS > Google Cloud Bigtable vs. Graphite vs. H2 vs. KeyDB vs. TinkerGraph

System Properties Comparison Google Cloud Bigtable vs. Graphite vs. H2 vs. KeyDB vs. TinkerGraph

Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonGraphite  Xexclude from comparisonH2  Xexclude from comparisonKeyDB  Xexclude from comparisonTinkerGraph  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 WhisperFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.An ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelKey-value store
Wide column store
Time Series DBMSRelational DBMSKey-value storeGraph DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score4.57
Rank#73  Overall
#5  Time Series DBMS
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score0.71
Rank#226  Overall
#33  Key-value stores
Score0.08
Rank#348  Overall
#35  Graph DBMS
Websitecloud.google.com/­bigtablegithub.com/­graphite-project/­graphite-webwww.h2database.comgithub.com/­Snapchat/­KeyDB
keydb.dev
tinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationcloud.google.com/­bigtable/­docsgraphite.readthedocs.iowww.h2database.com/­html/­main.htmldocs.keydb.dev
DeveloperGoogleChris DavisThomas MuellerEQ Alpha Technology Ltd.
Initial release20152006200520192009
Current release2.2.220, July 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoBSD-3Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonJavaC++Java
Server operating systemshostedLinux
Unix
All OS with a Java VMLinux
Data schemeschema-freeyesyesschema-freeschema-free
Typing infopredefined data types such as float or datenoNumeric data onlyyespartial 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.nonononono
Secondary indexesnonoyesyes infoby using the Redis Search moduleno
SQL infoSupport of SQLnonoyesnono
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP API
Sockets
JDBC
ODBC
Proprietary protocol infoRESP - REdis Serialization ProtocoTinkerPop 3
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
JavaScript (Node.js)
Python
JavaC
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
Groovy
Java
Server-side scripts infoStored proceduresnonoJava Stored Procedures and User-Defined FunctionsLuano
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesnoneWith clustering: 2 database servers on different computers operate on identical copies of a databaseMulti-source replication
Source-replica replication
none
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)noneImmediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
none
Foreign keys infoReferential integritynonoyesnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnoACIDOptimistic locking, atomic execution of commands blocks and scriptsno
Concurrency infoSupport for concurrent manipulation of datayesyes infolockingyes, multi-version concurrency control (MVCC)yesno
Durability infoSupport for making data persistentyesyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)nofine grained access rights according to SQL-standardsimple password-based access control and ACLno

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More resources
Google Cloud BigtableGraphiteH2KeyDBTinkerGraph
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