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DBMS > Apache Impala vs. BigchainDB vs. BoltDB vs. Greenplum vs. Microsoft Azure Cosmos DB

System Properties Comparison Apache Impala vs. BigchainDB vs. BoltDB vs. Greenplum vs. Microsoft Azure Cosmos DB

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonBigchainDB  Xexclude from comparisonBoltDB  Xexclude from comparisonGreenplum  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsAn embedded key-value store for Go.Analytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.Globally distributed, horizontally scalable, multi-model database service
Primary database modelRelational DBMSDocument storeKey-value storeRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsDocument storeDocument store
Spatial DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.63
Rank#40  Overall
#24  Relational DBMS
Score0.76
Rank#216  Overall
#36  Document stores
Score0.70
Rank#225  Overall
#31  Key-value stores
Score7.71
Rank#46  Overall
#29  Relational DBMS
Score24.97
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Websiteimpala.apache.orgwww.bigchaindb.comgithub.com/­boltdb/­boltgreenplum.orgazure.microsoft.com/­services/­cosmos-db
Technical documentationimpala.apache.org/­impala-docs.htmlbigchaindb.readthedocs.io/­en/­latestdocs.greenplum.orglearn.microsoft.com/­azure/­cosmos-db
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaPivotal Software Inc.Microsoft
Initial release20132016201320052014
Current release4.1.0, June 20227.0.0, September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoAGPL v3Open Source infoMIT LicenseOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++PythonGo
Server operating systemsLinuxLinuxBSD
Linux
OS X
Solaris
Windows
Linuxhosted
Data schemeyesschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnonoyesyes infoJSON types
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 infosince Version 4.2
Secondary indexesyesnoyesyes infoAll properties auto-indexed by default
SQL infoSupport of SQLSQL-like DML and DDL statementsnonoyesSQL-like query language
APIs and other access methodsJDBC
ODBC
CLI Client
RESTful HTTP API
JDBC
ODBC
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Supported programming languagesAll languages supporting JDBC/ODBCGo
Haskell
Java
JavaScript
Python
Ruby
GoC
Java
Perl
Python
R
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoyesJavaScript
TriggersnonoyesJavaScript
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factornoneSource-replica replicationyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonoyeswith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencynoneImmediate ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDMulti-item ACID transactions with snapshot isolation within a partition
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyesyes
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 Kerberosyesnofine grained access rights according to SQL-standardAccess rights can be defined down to the item level

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More resources
Apache ImpalaBigchainDBBoltDBGreenplumMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB
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