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DBMS > Apache Pinot vs. BigchainDB vs. GeoSpock vs. Google Cloud Bigtable vs. Kingbase

System Properties Comparison Apache Pinot vs. BigchainDB vs. GeoSpock vs. Google Cloud Bigtable vs. Kingbase

Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonBigchainDB  Xexclude from comparisonGeoSpock  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonKingbase  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsSpatial and temporal data processing engine for extreme data scaleGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.An enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.
Primary database modelRelational DBMSDocument storeRelational DBMSKey-value store
Wide column store
Relational DBMS
Secondary database modelsTime Series DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score0.79
Rank#212  Overall
#36  Document stores
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score0.45
Rank#262  Overall
#123  Relational DBMS
Websitepinot.apache.orgwww.bigchaindb.comgeospock.comcloud.google.com/­bigtablewww.kingbase.com.cn
Technical documentationdocs.pinot.apache.orgbigchaindb.readthedocs.io/­en/­latestcloud.google.com/­bigtable/­docs
DeveloperApache Software Foundation and contributorsGeoSpockGoogleBeiJing KINGBASE Information technologies inc.
Initial release2015201620151999
Current release1.0.0, September 20232.0, September 2019V8.0, August 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoAGPL v3commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaPythonJava, JavascriptC and Java
Server operating systemsAll OS with a Java JDK11 or higherLinuxhostedhostedLinux
Windows
Data schemeyesschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesnoyes
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.nononoyes
Secondary indexestemporal, categoricalnoyes
SQL infoSupport of SQLSQL-like query languagenoANSI SQL for query only (using Presto)noStandard with numerous extensions
APIs and other access methodsJDBCCLI Client
RESTful HTTP API
JDBCgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
Supported programming languagesGo
Java
Python
Go
Haskell
Java
JavaScript
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Server-side scripts infoStored proceduresnonouser defined functions
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingAutomatic shardingShardinghorizontal partitioning (by range, list and hash) and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorInternal replication in Colossus, and regional replication between two clusters in different zonesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic single-row operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlyesAccess rights for users can be defined per tableAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standard

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More resources
Apache PinotBigchainDBGeoSpockGoogle Cloud BigtableKingbase
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