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DBMS > Google Cloud Bigtable vs. Graphite vs. HarperDB vs. Kingbase vs. SwayDB

System Properties Comparison Google Cloud Bigtable vs. Graphite vs. HarperDB vs. Kingbase vs. SwayDB

Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonGraphite  Xexclude from comparisonHarperDB  Xexclude from comparisonKingbase  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 WhisperUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.An enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.An 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 DBMSDocument storeRelational DBMSKey-value store
Secondary database modelsDocument store
Spatial 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
Score0.60
Rank#244  Overall
#38  Document stores
Score0.50
Rank#257  Overall
#119  Relational DBMS
Score0.04
Rank#387  Overall
#61  Key-value stores
Websitecloud.google.com/­bigtablegithub.com/­graphite-project/­graphite-webwww.harperdb.iowww.kingbase.com.cnswaydb.simer.au
Technical documentationcloud.google.com/­bigtable/­docsgraphite.readthedocs.iodocs.harperdb.io/­docs
DeveloperGoogleChris DavisHarperDBBeiJing KINGBASE Information technologies inc.Simer Plaha
Initial release20152006201719992018
Current release3.1, August 2021V8.0, August 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial infofree community edition availablecommercialOpen Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonNode.jsC and JavaScala
Server operating systemshostedLinux
Unix
Linux
OS X
Linux
Windows
Data schemeschema-freeyesdynamic schemayesschema-free
Typing infopredefined data types such as float or datenoNumeric data onlyyes infoJSON data typesyesno
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.nononoyesno
Secondary indexesnonoyesyesno
SQL infoSupport of SQLnonoSQL-like data manipulation statementsStandard with numerous extensionsno
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP API
Sockets
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
JavaScript (Node.js)
Python
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Java
Kotlin
Scala
Server-side scripts infoStored proceduresnonoCustom Functions infosince release 3.1user defined functionsno
Triggersnononoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneA table resides as a whole on one (or more) nodes in a clusterhorizontal partitioning (by range, list and hash) and vertical partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesnoneyes infothe nodes on which a table resides can be definedyesnone
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 ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnoAtomic execution of specific operationsACIDAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyes infolockingyesyesyes
Durability infoSupport for making data persistentyesyesyes, using LMDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noAccess rights for users and rolesfine grained access rights according to SQL-standardno

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More resources
Google Cloud BigtableGraphiteHarperDBKingbaseSwayDB
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