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DBMS > Apache Impala vs. Databend vs. Immudb vs. Ingres vs. Trafodion

System Properties Comparison Apache Impala vs. Databend vs. Immudb vs. Ingres vs. Trafodion

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonDatabend  Xexclude from comparisonImmudb  Xexclude from comparisonIngres  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAnalytic DBMS for HadoopAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityAn open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.Well established RDBMSTransactional SQL-on-Hadoop DBMS
Primary database modelRelational DBMSRelational DBMSKey-value storeRelational DBMSRelational DBMS
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.30
Rank#287  Overall
#130  Relational DBMS
Score0.24
Rank#305  Overall
#43  Key-value stores
Score4.11
Rank#81  Overall
#44  Relational DBMS
Websiteimpala.apache.orggithub.com/­datafuselabs/­databend
www.databend.com
github.com/­codenotary/­immudb
immudb.io
www.actian.com/­databases/­ingrestrafodion.apache.org
Technical documentationimpala.apache.org/­impala-docs.htmldocs.databend.comdocs.immudb.iodocs.actian.com/­ingrestrafodion.apache.org/­documentation.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaDatabend LabsCodenotaryActian CorporationApache Software Foundation, originally developed by HP
Initial release2013202120201974 infooriginally developed at University Berkely in early 1970s2014
Current release4.1.0, June 20221.0.59, April 20231.2.3, April 202211.2, May 20222.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0Open Source infoApache Version 2.0commercialOpen Source infoApache 2.0
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++RustGoCC++, Java
Server operating systemsLinuxhosted
Linux
macOS
BSD
Linux
macOS
Solaris
Windows
z/OS
AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 availableno
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesSQL-like syntaxyesyes
APIs and other access methodsJDBC
ODBC
CLI Client
JDBC
RESTful HTTP API
gRPC protocol
PostgreSQL wire protocol
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
ADO.NET
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCGo
Java
JavaScript (Node.js)
Python
Rust
.Net
Go
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenonoyesJava Stored Procedures
Triggersnononoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslySharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneIngres Replicatoryes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenononoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCCyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononono
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosUsers with fine-grained authorization concept, user rolesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Apache ImpalaDatabendImmudbIngresTrafodion
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