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DBMS > Apache Impala vs. BigchainDB vs. DolphinDB vs. Kyligence Enterprise vs. OrientDB

System Properties Comparison Apache Impala vs. BigchainDB vs. DolphinDB vs. Kyligence Enterprise vs. OrientDB

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonBigchainDB  Xexclude from comparisonDolphinDB  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonOrientDB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.A distributed analytics engine for big data, built on top of Apache KylinMulti-model DBMS (Document, Graph, Key/Value)
Primary database modelRelational DBMSDocument storeTime Series DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.03
Rank#40  Overall
#24  Relational DBMS
Score0.82
Rank#212  Overall
#36  Document stores
Score4.23
Rank#82  Overall
#6  Time Series DBMS
Score0.39
Rank#276  Overall
#125  Relational DBMS
Score3.27
Rank#97  Overall
#16  Document stores
#6  Graph DBMS
#15  Key-value stores
Websiteimpala.apache.orgwww.bigchaindb.comwww.dolphindb.comkyligence.io/­kyligence-enterpriseorientdb.org
Technical documentationimpala.apache.org/­impala-docs.htmlbigchaindb.readthedocs.io/­en/­latestdocs.dolphindb.cn/­en/­help200/­index.htmlwww.orientdb.com/­docs/­last/­index.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaDolphinDB, IncKyligence, Inc.OrientDB LTD; CallidusCloud; SAP
Initial release20132016201820162010
Current release4.1.0, June 2022v2.00.4, January 20223.2.29, March 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoAGPL v3commercial infofree community version availablecommercialOpen Source infoApache version 2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++PythonC++JavaJava
Server operating systemsLinuxLinuxLinux
Windows
LinuxAll OS with a Java JDK (>= JDK 6)
Data schemeyesschema-freeyesyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.nonononono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoSQL-like query languageANSI SQL for queries (using Apache Calcite)SQL-like query language, no joins
APIs and other access methodsJDBC
ODBC
CLI Client
RESTful HTTP API
JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
JDBC
ODBC
RESTful HTTP API
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Supported programming languagesAll languages supporting JDBC/ODBCGo
Haskell
Java
JavaScript
Python
Ruby
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesJava, Javascript
TriggersnonoHooks
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factoryesMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenoyesyesno infocould be achieved with distributed queries
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes inforelationship in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACID
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.noyesno
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosyesAdministrators, Users, GroupsAccess rights for users and roles; record level security configurable

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More resources
Apache ImpalaBigchainDBDolphinDBKyligence EnterpriseOrientDB
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