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DBMS > AntDB vs. Apache Impala vs. Bangdb vs. Solr

System Properties Comparison AntDB vs. Apache Impala vs. Bangdb vs. Solr

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Editorial information provided by DB-Engines
NameAntDB  Xexclude from comparisonApache Impala  Xexclude from comparisonBangdb  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionA scalable, multi-tenant, MPP-architectured RDBMS for OLTP and OLAP operations, highly compatible with OracleAnalytic DBMS for HadoopConverged and high performance database for device data, events, time series, document and graphA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMSRelational DBMSDocument store
Graph DBMS
Time Series DBMS
Search engine
Secondary database modelsDocument storeSpatial DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#317  Overall
#141  Relational DBMS
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Websitewww.asiainfo.com/­en_us/­product_aisware_antdb_detail.htmlimpala.apache.orgbangdb.comsolr.apache.org
Technical documentationimpala.apache.org/­impala-docs.htmldocs.bangdb.comsolr.apache.org/­resources.html
DeveloperAsiaInfo Technologies LimitedApache Software Foundation infoApache top-level project, originally developed by ClouderaSachin Sinha, BangDBApache Software Foundation
Initial release201320122006
Current release4.1.0, June 2022BangDB 2.0, October 20219.6.1, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoBSD 3Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C, C++Java
Server operating systemsLinuxLinuxAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyes: string, long, double, int, geospatial, stream, eventsyes infosupports customizable data types and automatic typing
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.nonoyes
Secondary indexesyesyesyes infosecondary, composite, nested, reverse, geospatialyes infoAll search fields are automatically indexed
SQL infoSupport of SQLSQL2016 compliantSQL-like DML and DDL statementsSQL like support with command line toolSolr Parallel SQL Interface
APIs and other access methodsJDBC
MySQL protocol compliant
ODBC
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Java API
RESTful HTTP/JSON API
Supported programming languagesAll languages supporting JDBC/ODBCC
C#
C++
Java
Python
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoJava plugins
Triggersyesnoyes, Notifications (with Streaming only)yes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor, Knob for CAP (enterprise version only)yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyTunable consistency, set CAP knob accordinglyEventual Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes, optimistic concurrency controlyes
Durability infoSupport for making data persistentyesyesyes, implements WAL (Write ahead log) as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes, run db with in-memory only modeyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosyes (enterprise version only)yes

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More resources
AntDBApache ImpalaBangdbSolr
DB-Engines blog posts

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