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DBMS > Apache Impala vs. BoltDB vs. Google Cloud Datastore vs. Kingbase

System Properties Comparison Apache Impala vs. BoltDB vs. Google Cloud Datastore vs. Kingbase

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonBoltDB  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonKingbase  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopAn embedded key-value store for Go.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.
Primary database modelRelational DBMSKey-value storeDocument storeRelational DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.74
Rank#220  Overall
#31  Key-value stores
Score4.47
Rank#76  Overall
#12  Document stores
Score0.45
Rank#262  Overall
#123  Relational DBMS
Websiteimpala.apache.orggithub.com/­boltdb/­boltcloud.google.com/­datastorewww.kingbase.com.cn
Technical documentationimpala.apache.org/­impala-docs.htmlcloud.google.com/­datastore/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaGoogleBeiJing KINGBASE Information technologies inc.
Initial release2013201320081999
Current release4.1.0, June 2022V8.0, August 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoMIT Licensecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++GoC and Java
Server operating systemsLinuxBSD
Linux
OS X
Solaris
Windows
hostedLinux
Windows
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes, details hereyes
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 indexesyesnoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoSQL-like query language (GQL)Standard with numerous extensions
APIs and other access methodsJDBC
ODBC
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
Supported programming languagesAll languages supporting JDBC/ODBCGo.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenousing Google App Engineuser defined functions
TriggersnonoCallbacks using the Google Apps Engineyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardinghorizontal partitioning (by range, list and hash) and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneMulti-source replication using Paxosyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenoyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencynoneImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate Consistency
Foreign keys infoReferential integritynonoyes infovia ReferenceProperties or Ancestor pathsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosnoAccess 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 ImpalaBoltDBGoogle Cloud DatastoreKingbase
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