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DBMS > Apache Impala vs. Apache Phoenix vs. Dolt vs. HarperDB

System Properties Comparison Apache Impala vs. Apache Phoenix vs. Dolt vs. HarperDB

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonApache Phoenix  Xexclude from comparisonDolt  Xexclude from comparisonHarperDB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopA scale-out RDBMS with evolutionary schema built on Apache HBaseA MySQL compatible DBMS with Git-like versioning of data and schemaUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument store
Secondary database modelsDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score1.02
Rank#191  Overall
#89  Relational DBMS
Score0.60
Rank#244  Overall
#38  Document stores
Websiteimpala.apache.orgphoenix.apache.orggithub.com/­dolthub/­dolt
www.dolthub.com
www.harperdb.io
Technical documentationimpala.apache.org/­impala-docs.htmlphoenix.apache.orgdocs.dolthub.comdocs.harperdb.io/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaApache Software FoundationDoltHub IncHarperDB
Initial release2013201420182017
Current release4.1.0, June 20225.0-HBase2, July 2018 and 4.15-HBase1, December 20193.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0Open Source infoApache Version 2.0commercial infofree community edition available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaGoNode.js
Server operating systemsLinuxLinux
Unix
Windows
Linux
macOS
Windows
Linux
OS X
Data schemeyesyes infolate-bound, schema-on-read capabilitiesyesdynamic schema
Typing infopredefined data types such as float or dateyesyesyesyes infoJSON data 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.nononono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesyesSQL-like data manipulation statements
APIs and other access methodsJDBC
ODBC
JDBCCLI Client
HTTP REST
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Supported programming languagesAll languages supporting JDBC/ODBCC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceuser defined functionsyes infocurrently in alpha releaseCustom Functions infosince release 3.1
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneA table resides as a whole on one (or more) nodes in a cluster
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication
Source-replica replication
A database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.yes infothe nodes on which a table resides can be defined
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDAtomic execution of specific operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, using LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyOnly one user is configurable, and must be specified in the config file at startupAccess rights for users and roles

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More resources
Apache ImpalaApache PhoenixDoltHarperDB
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