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DBMS > Apache Impala vs. DolphinDB vs. Hazelcast vs. HBase

System Properties Comparison Apache Impala vs. DolphinDB vs. Hazelcast vs. HBase

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonDolphinDB  Xexclude from comparisonHazelcast  Xexclude from comparisonHBase  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopDolphinDB 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 widely adopted in-memory data gridWide-column store based on Apache Hadoop and on concepts of BigTable
Primary database modelRelational DBMSTime Series DBMSKey-value storeWide column store
Secondary database modelsDocument storeRelational DBMSDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score4.13
Rank#80  Overall
#6  Time Series DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Score30.50
Rank#26  Overall
#2  Wide column stores
Websiteimpala.apache.orgwww.dolphindb.comhazelcast.comhbase.apache.org
Technical documentationimpala.apache.org/­impala-docs.htmldocs.dolphindb.cn/­en/­help200/­index.htmlhazelcast.org/­imdg/­docshbase.apache.org/­book.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaDolphinDB, IncHazelcastApache Software Foundation infoApache top-level project, originally developed by Powerset
Initial release2013201820082008
Current release4.1.0, June 2022v2.00.4, January 20225.3.6, November 20232.3.4, January 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infofree community version availableOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++JavaJava
Server operating systemsLinuxLinux
Windows
All OS with a Java VMLinux
Unix
Windows infousing Cygwin
Data schemeyesyesschema-freeschema-free, schema definition possible
Typing infopredefined data types such as float or dateyesyesyesoptions to bring your own types, AVRO
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.nonoyes infothe object must implement a serialization strategyno
Secondary indexesyesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languageSQL-like query languageno
APIs and other access methodsJDBC
ODBC
JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
JCache
JPA
Memcached protocol
RESTful HTTP API
Java API
RESTful HTTP API
Thrift
Supported programming languagesAll languages supporting JDBC/ODBCC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C#
C++
Groovy
Java
PHP
Python
Scala
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesyes infoEvent Listeners, Executor Servicesyes infoCoprocessors in Java
Triggersnonoyes infoEventsyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesyes infoReplicated MapMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyesyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency or Eventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesone or two-phase-commit; repeatable reads; read commitedSingle row ACID (across millions of columns)
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.noyesyesyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAdministrators, Users, GroupsRole-based access controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC

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More resources
Apache ImpalaDolphinDBHazelcastHBase
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