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DBMS > Apache Impala vs. Bangdb vs. HBase vs. Informix

System Properties Comparison Apache Impala vs. Bangdb vs. HBase vs. Informix

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonBangdb  Xexclude from comparisonHBase  Xexclude from comparisonInformix  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopConverged and high performance database for device data, events, time series, document and graphWide-column store based on Apache Hadoop and on concepts of BigTableA secure embeddable database from IBM, positioned besides IBM Db2 as a relatively low-cost product optimized for OLTP and Internet of Things data
Primary database modelRelational DBMSDocument store
Graph DBMS
Time Series DBMS
Wide column storeRelational DBMS infoSince Version 12.10 support for JSON/BSON datatypes compatible with MongoDB
Secondary database modelsDocument storeSpatial DBMSDocument store
Spatial DBMS
Time Series DBMS infowith Informix TimeSeries Extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score27.97
Rank#26  Overall
#2  Wide column stores
Score17.12
Rank#34  Overall
#21  Relational DBMS
Websiteimpala.apache.orgbangdb.comhbase.apache.orgwww.ibm.com/­products/­informix
Technical documentationimpala.apache.org/­impala-docs.htmldocs.bangdb.comhbase.apache.org/­book.htmlinformix.hcldoc.com
www.ibm.com/­support/­knowledgecenter/­SSGU8G/­welcomeIfxServers.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaSachin Sinha, BangDBApache Software Foundation infoApache top-level project, originally developed by PowersetIBM, HCL Technologies infoEffective May 1st, 2017, HCL took on development, technical support, and product management teams, and works jointly with IBM on product strategy, marketing, and sales.
Initial release2013201220081984
Current release4.1.0, June 2022BangDB 2.0, October 20212.3.4, January 202114.10.FC5, November 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoBSD 3Open Source infoApache version 2commercial infofree developer 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++C, C++JavaC, C++ and Java
Server operating systemsLinuxLinuxLinux
Unix
Windows infousing Cygwin
AIX
HP-UX
Linux
macOS
Solaris
Windows
Data schemeyesschema-freeschema-free, schema definition possibleyes
Typing infopredefined data types such as float or dateyesyes: string, long, double, int, geospatial, stream, eventsoptions to bring your own types, AVROyes infoSince Version 12.10 support for JSON/BSON datatypes
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 indexesyesyes infosecondary, composite, nested, reverse, geospatialnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL like support with command line toolnoyes
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP API
Java API
RESTful HTTP API
Thrift
JDBC
JSON API infoMongoDB compatible
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCC
C#
C++
Java
Python
C
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
C
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoyes infoCoprocessors in Javayes
Triggersnoyes, Notifications (with Streaming only)yesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor, Knob for CAP (enterprise version only)Multi-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyTunable consistency, set CAP knob accordinglyImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDSingle row ACID (across millions of columns)ACID
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyes
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes, run db with in-memory only modeyesyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosyes (enterprise version only)Access Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACUsers with fine-grained authentication, authorization, and auditing controls

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Apache ImpalaBangdbHBaseInformix
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