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DBMS > Alibaba Cloud AnalyticDB for MySQL vs. Bangdb vs. LeanXcale vs. Sphinx

System Properties Comparison Alibaba Cloud AnalyticDB for MySQL vs. Bangdb vs. LeanXcale vs. Sphinx

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Editorial information provided by DB-Engines
NameAlibaba Cloud AnalyticDB for MySQL  Xexclude from comparisonBangdb  Xexclude from comparisonLeanXcale  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionA real-time data warehousing service that can process petabytes of data with high concurrency and low latency. It is fully compatible with the MySQL protocol.Converged and high performance database for device data, events, time series, document and graphA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSDocument store
Graph DBMS
Time Series DBMS
Key-value store
Relational DBMS
Search engine
Secondary database modelsDocument storeSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#207  Overall
#96  Relational DBMS
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitewww.alibabacloud.com/­product/­analyticdb-for-mysqlbangdb.comwww.leanxcale.comsphinxsearch.com
Technical documentationwww.alibabacloud.com/­help/­doc-detail/­93776.htmdocs.bangdb.comsphinxsearch.com/­docs
DeveloperAlibabaSachin Sinha, BangDBLeanXcaleSphinx Technologies Inc.
Initial release201220152001
Current releaseBangDB 2.0, October 20213.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoBSD 3commercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++C++
Server operating systemshostedLinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes: string, long, double, int, geospatial, stream, eventsno
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.yesno
Secondary indexesyesyes infosecondary, composite, nested, reverse, geospatialyes infofull-text index on all search fields
SQL infoSupport of SQLyesSQL like support with command line toolyes infothrough Apache DerbySQL-like query language (SphinxQL)
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP API
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Proprietary protocol
Supported programming languagesC#
Java
PHP
Python
C
C#
C++
Java
Python
C
Java
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyesnono
Triggersyesyes, Notifications (with Streaming only)no
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceselectable replication factor, Knob for CAP (enterprise version only)none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable consistency, set CAP knob accordinglyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyes
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes, run db with in-memory only modeyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyes (enterprise version only)no
More information provided by the system vendor
Alibaba Cloud AnalyticDB for MySQLBangdbLeanXcaleSphinx
Specific characteristicsA real-time data warehousing service that can process PB data with high concurrency...
» more
Competitive advantagesTPC Benchmark: The world leading result in TPC-DS benchmark . TPC-H benchmark for...
» more
Licensing and pricing modelsAvailable regions: America US Virginia US Silicon Valley Asia China Hong Kong India...
» more

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Alibaba Cloud AnalyticDB for MySQLBangdbLeanXcaleSphinx
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