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DBMS > Apache Impala vs. DuckDB vs. HugeGraph vs. Infobright

System Properties Comparison Apache Impala vs. DuckDB vs. HugeGraph vs. Infobright

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonDuckDB  Xexclude from comparisonHugeGraph  Xexclude from comparisonInfobright  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopAn embeddable, in-process, column-oriented SQL OLAP RDBMSA fast-speed and highly-scalable Graph DBMSHigh performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontend
Primary database modelRelational DBMSRelational DBMSGraph DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score4.63
Rank#69  Overall
#37  Relational DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score1.02
Rank#192  Overall
#90  Relational DBMS
Websiteimpala.apache.orgduckdb.orggithub.com/­hugegraph
hugegraph.apache.org
ignitetech.com/­softwarelibrary/­infobrightdb
Technical documentationimpala.apache.org/­impala-docs.htmlduckdb.org/­docshugegraph.apache.org/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaBaiduIgnite Technologies Inc.; formerly InfoBright Inc.
Initial release2013201820182005
Current release4.1.0, June 20221.0.0, June 20240.9
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoMIT LicenseOpen Source infoApache Version 2.0commercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++JavaC
Server operating systemsLinuxserver-lessLinux
macOS
Unix
Linux
Windows
Data schemeyesyesyesyes
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
Secondary indexesyesyesyes infoalso supports composite index and range indexno infoKnowledge Grid Technology used instead
SQL infoSupport of SQLSQL-like DML and DDL statementsyesnoyes
APIs and other access methodsJDBC
ODBC
Arrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
Java API
RESTful HTTP API
TinkerPop Gremlin
ADO.NET
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCC
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
Groovy
Java
Python
.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoasynchronous Gremlin script jobsno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneyes infodepending on used storage backend, e.g. Cassandra and HBasenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneyes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenovia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes infoedges in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
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 KerberosnoUsers, roles and permissionsfine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilities

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More resources
Apache ImpalaDuckDBHugeGraphInfobright
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