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DBMS > Apache Impala vs. Datomic vs. HarperDB vs. Ingres

System Properties Comparison Apache Impala vs. Datomic vs. HarperDB vs. Ingres

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonDatomic  Xexclude from comparisonHarperDB  Xexclude from comparisonIngres  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityUltra-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.Well established RDBMS
Primary database modelRelational DBMSRelational DBMSDocument storeRelational 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
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.55
Rank#248  Overall
#38  Document stores
Score4.11
Rank#81  Overall
#44  Relational DBMS
Websiteimpala.apache.orgwww.datomic.comwww.harperdb.iowww.actian.com/­databases/­ingres
Technical documentationimpala.apache.org/­impala-docs.htmldocs.datomic.comdocs.harperdb.io/­docsdocs.actian.com/­ingres
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaCognitectHarperDBActian Corporation
Initial release2013201220171974 infooriginally developed at University Berkely in early 1970s
Current release4.1.0, June 20221.0.6735, June 20233.1, August 202111.2, May 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infolimited edition freecommercial infofree community edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java, ClojureNode.jsC
Server operating systemsLinuxAll OS with a Java VMLinux
OS X
AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Data schemeyesyesdynamic schemayes
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.nononono infobut tools for importing/exporting data from/to XML-files available
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoSQL-like data manipulation statementsyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP APIJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
Supported programming languagesAll languages supporting JDBC/ODBCClojure
Java
.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-reduceyes infoTransaction FunctionsCustom Functions infosince release 3.1yes
TriggersnoBy using transaction functionsnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnone infoBut extensive use of caching in the application peersA table resides as a whole on one (or more) nodes in a clusterhorizontal partitioning infoIngres Star to access multiple databases simultaneously
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornone infoBut extensive use of caching in the application peersyes infothe nodes on which a table resides can be definedIngres Replicator
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDAtomic execution of specific operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCC
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes, using LMDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentyesno
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosnoAccess rights for users and rolesfine grained access rights according to SQL-standard

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More resources
Apache ImpalaDatomicHarperDBIngres
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