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DBMS > Alibaba Cloud TSDB vs. EventStoreDB vs. Netezza vs. Rockset vs. Spark SQL

System Properties Comparison Alibaba Cloud TSDB vs. EventStoreDB vs. Netezza vs. Rockset vs. Spark SQL

Editorial information provided by DB-Engines
NameAlibaba Cloud TSDB  Xexclude from comparisonEventStoreDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonRockset  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionA stable, reliable, and cost-effective online high-performance time series database serviceIndustrial-strength, open-source database solution built from the ground up for event sourcing.Data warehouse and analytics appliance part of IBM PureSystemsA scalable, reliable search and analytics service in the cloud, built on RocksDBSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelTime Series DBMSEvent StoreRelational DBMSDocument storeRelational DBMS
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.24
Rank#306  Overall
#26  Time Series DBMS
Score1.10
Rank#179  Overall
#1  Event Stores
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitewww.alibabacloud.com/­product/­hitsdbwww.eventstore.comwww.ibm.com/­products/­netezzarockset.comspark.apache.org/­sql
Technical documentationwww.alibabacloud.com/­help/­en/­time-series-database/­latest/­what-is-tsdbdevelopers.eventstore.comdocs.rockset.comspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAlibabaEvent Store LimitedIBMRocksetApache Software Foundation
Initial release2012200020192014
Current release21.2, February 20213.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialOpen SourcecommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Scala
Server operating systemshostedLinux
Windows
Linux infoincluded in appliancehostedLinux
OS X
Windows
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateNumeric data and Stringsyesdynamic typingyes
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.nono infoingestion from XML files supportedno
Secondary indexesnoyesall fields are automatically indexedno
SQL infoSupport of SQLnoyesRead-only SQL queries, including JOINsSQL-like DML and DDL statements
APIs and other access methodsHTTP RESTJDBC
ODBC
OLE DB
HTTP RESTJDBC
ODBC
Supported programming languagesJavaC
C++
Fortran
Java
Lua
Perl
Python
R
Go
Java
JavaScript (Node.js)
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresnoyesnono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess managed on TSDB instance levelUsers with fine-grained authorization conceptAccess rights for users and organizations can be defined via Rockset consoleno

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More resources
Alibaba Cloud TSDBEventStoreDBNetezza infoAlso called PureData System for Analytics by IBMRocksetSpark SQL
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