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DBMS > Google Cloud Bigtable vs. Graphite vs. GridGain vs. PlanetScale vs. SwayDB

System Properties Comparison Google Cloud Bigtable vs. Graphite vs. GridGain vs. PlanetScale vs. SwayDB

Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonGraphite  Xexclude from comparisonGridGain  Xexclude from comparisonPlanetScale  Xexclude from comparisonSwayDB  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 WhisperGridGain is an in-memory computing platform, built on Apache IgniteScalable, distributed, serverless MySQL database platform built on top of VitessAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelKey-value store
Wide column store
Time Series DBMSColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMSKey-value store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.97
Rank#92  Overall
#15  Key-value stores
#8  Wide column stores
Score5.19
Rank#62  Overall
#4  Time Series DBMS
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score1.09
Rank#178  Overall
#82  Relational DBMS
Score0.00
Rank#384  Overall
#60  Key-value stores
Websitecloud.google.com/­bigtablegithub.com/­graphite-project/­graphite-webwww.gridgain.complanetscale.comswaydb.simer.au
Technical documentationcloud.google.com/­bigtable/­docsgraphite.readthedocs.iowww.gridgain.com/­docs/­index.htmlplanetscale.com/­docs
DeveloperGoogleChris DavisGridGain Systems, Inc.PlanetScaleSimer Plaha
Initial release20152006200720202018
Current releaseGridGain 8.5.1
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial, open sourcecommercialOpen Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonJava, C++, .Net, Python, REST, SQLGoScala
Server operating systemshostedLinux
Unix
Linux
OS X
Solaris
Windows
z/OS
Docker
Linux
macOS
Data schemeschema-freeyesyesyesschema-free
Typing infopredefined data types such as float or datenoNumeric data onlyyesyesno
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.nonoyesno
Secondary indexesnonoyesyesno
SQL infoSupport of SQLnonoANSI-99 for query and DML statements, subset of DDLyes infowith proprietary extensionsno
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP API
Sockets
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
JavaScript (Node.js)
Python
C#
C++
Java
PHP
Python
Ruby
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Java
Kotlin
Scala
Server-side scripts infoStored proceduresnonoyes (compute grid and cache interceptors can be used instead)yes infoproprietary syntaxno
Triggersnonoyes (cache interceptors and events)yesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesnoneyes (replicated cache)Multi-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes (compute grid and hadoop accelerator)nono
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 across shards
Immediate Consistency within a shard
Immediate Consistency
Foreign keys infoReferential integritynononoyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnoACIDACID at shard levelAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyes infolockingyesyes infotable locks or row locks depending on storage engineyes
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.noyesyesyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noRole-based access control
Security Hooks for custom implementations
Users with fine-grained authorization concept infono user groups or rolesno

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More resources
Google Cloud BigtableGraphiteGridGainPlanetScaleSwayDB
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