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DBMS > Alibaba Cloud TSDB vs. Amazon DocumentDB vs. Apache Phoenix vs. Bangdb vs. Spark SQL

System Properties Comparison Alibaba Cloud TSDB vs. Amazon DocumentDB vs. Apache Phoenix vs. Bangdb vs. Spark SQL

Editorial information provided by DB-Engines
NameAlibaba Cloud TSDB  Xexclude from comparisonAmazon DocumentDB  Xexclude from comparisonApache Phoenix  Xexclude from comparisonBangdb  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionA stable, reliable, and cost-effective online high-performance time series database serviceFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA scale-out RDBMS with evolutionary schema built on Apache HBaseConverged and high performance database for device data, events, time series, document and graphSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelTime Series DBMSDocument storeRelational DBMSDocument store
Graph DBMS
Time Series DBMS
Relational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.24
Rank#306  Overall
#26  Time Series DBMS
Score1.91
Rank#132  Overall
#24  Document stores
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitewww.alibabacloud.com/­product/­hitsdbaws.amazon.com/­documentdbphoenix.apache.orgbangdb.comspark.apache.org/­sql
Technical documentationwww.alibabacloud.com/­help/­en/­time-series-database/­latest/­what-is-tsdbaws.amazon.com/­documentdb/­resourcesphoenix.apache.orgdocs.bangdb.comspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAlibabaApache Software FoundationSachin Sinha, BangDBApache Software Foundation
Initial release2019201420122014
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 2019BangDB 2.0, October 20213.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0Open Source infoBSD 3Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++Scala
Server operating systemshostedhostedLinux
Unix
Windows
LinuxLinux
OS X
Windows
Data schemeschema-freeschema-freeyes infolate-bound, schema-on-read capabilitiesschema-freeyes
Typing infopredefined data types such as float or dateNumeric data and Stringsyesyesyes: string, long, double, int, geospatial, stream, eventsyes
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 indexesnoyesyesyes infosecondary, composite, nested, reverse, geospatialno
SQL infoSupport of SQLnonoyesSQL like support with command line toolSQL-like DML and DDL statements
APIs and other access methodsHTTP RESTproprietary protocol using JSON (MongoDB compatible)JDBCProprietary protocol
RESTful HTTP API
JDBC
ODBC
Supported programming languagesJavaGo
Java
JavaScript (Node.js)
PHP
Python
C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C
C#
C++
Java
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresnonouser defined functionsnono
Triggersnononoyes, Notifications (with Streaming only)no
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMulti-source replication
Source-replica replication
selectable replication factor, Knob for CAP (enterprise version only)none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual ConsistencyTunable consistency, set CAP knob accordingly
Foreign keys infoReferential integritynono infotypically not used, however similar functionality with DBRef possiblenonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic single-document operationsACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, optimistic concurrency controlyes
Durability infoSupport for making data persistentyesyesyesyes, 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.noyesyes, run db with in-memory only modeno
User concepts infoAccess controlAccess managed on TSDB instance levelAccess rights for users and rolesAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyyes (enterprise version only)no

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More resources
Alibaba Cloud TSDBAmazon DocumentDBApache PhoenixBangdbSpark SQL
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