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

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

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonApache Phoenix  Xexclude from comparisonHarperDB  Xexclude from comparisonSurrealDB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopA scale-out RDBMS with evolutionary schema built on Apache HBaseUltra-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.A fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelRelational DBMSRelational DBMSDocument storeDocument store
Graph DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.55
Rank#248  Overall
#38  Document stores
Score0.86
Rank#203  Overall
#34  Document stores
#18  Graph DBMS
Websiteimpala.apache.orgphoenix.apache.orgwww.harperdb.iosurrealdb.com
Technical documentationimpala.apache.org/­impala-docs.htmlphoenix.apache.orgdocs.harperdb.io/­docssurrealdb.com/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaApache Software FoundationHarperDBSurrealDB Ltd
Initial release2013201420172022
Current release4.1.0, June 20225.0-HBase2, July 2018 and 4.15-HBase1, December 20193.1, August 2021v1.5.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0commercial infofree community edition availableOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaNode.jsRust
Server operating systemsLinuxLinux
Unix
Windows
Linux
OS X
Linux
macOS
Windows
Data schemeyesyes infolate-bound, schema-on-read capabilitiesdynamic schemaschema-free
Typing infopredefined data types such as float or dateyesyesyes infoJSON data typesyes
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.nonono
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesSQL-like data manipulation statementsSQL-like query language
APIs and other access methodsJDBC
ODBC
JDBCJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
GraphQL
RESTful HTTP API
WebSocket
Supported programming languagesAll languages supporting JDBC/ODBCC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.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
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceuser defined functionsCustom Functions infosince release 3.1
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingA 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
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 integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDAtomic execution of specific operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes, using LMDByes
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-tenancyAccess rights for users and rolesyes, based on authentication and database rules

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More resources
Apache ImpalaApache PhoenixHarperDBSurrealDB
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