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DBMS > Apache Impala vs. Bangdb vs. H2GIS vs. Microsoft Azure Table Storage vs. TDSQL for MySQL

System Properties Comparison Apache Impala vs. Bangdb vs. H2GIS vs. Microsoft Azure Table Storage vs. TDSQL for MySQL

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonBangdb  Xexclude from comparisonH2GIS  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopConverged and high performance database for device data, events, time series, document and graphSpatial extension of H2A Wide Column Store for rapid development using massive semi-structured datasetsA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.
Primary database modelRelational DBMSDocument store
Graph DBMS
Time Series DBMS
Spatial DBMSWide column storeRelational DBMS
Secondary database modelsDocument storeSpatial DBMSRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.63
Rank#40  Overall
#24  Relational DBMS
Score0.07
Rank#346  Overall
#47  Document stores
#35  Graph DBMS
#32  Time Series DBMS
Score0.00
Rank#385  Overall
#7  Spatial DBMS
Score3.55
Rank#80  Overall
#6  Wide column stores
Score0.96
Rank#192  Overall
#88  Relational DBMS
Websiteimpala.apache.orgbangdb.comwww.h2gis.orgazure.microsoft.com/­en-us/­services/­storage/­tableswww.tencentcloud.com/­products/­dcdb
Technical documentationimpala.apache.org/­impala-docs.htmldocs.bangdb.comwww.h2gis.org/­docs/­homewww.tencentcloud.com/­document/­product/­1042
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaSachin Sinha, BangDBCNRSMicrosoftTencent
Initial release20132012201320122013
Current release4.1.0, June 2022BangDB 2.0, October 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoBSD 3Open Source infoLGPL 3.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesyes
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 systemsLinuxLinuxhostedhosted
Data schemeyesschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes: string, long, double, int, geospatial, stream, eventsyesyesyes
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.nonononono
Secondary indexesyesyes infosecondary, composite, nested, reverse, geospatialyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL like support with command line toolyesnoyes
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP API
RESTful HTTP APIJDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCC
C#
C++
Java
Python
Java.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoyes infobased on H2noyes
Triggersnoyes, Notifications (with Streaming only)yesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmnoneSharding infoImplicit feature of the cloud serviceAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor, Knob for CAP (enterprise version only)yes infobased on H2yes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyTunable consistency, set CAP knob accordinglyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDoptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellyesyesyes
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 modeyesnono
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosyes (enterprise version only)yes infobased on H2Access rights based on private key authentication or shared access signaturesUsers with fine-grained authorization concept

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More resources
Apache ImpalaBangdbH2GISMicrosoft Azure Table StorageTDSQL for MySQL
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