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DBMS > Alibaba Cloud TSDB vs. Apache Druid vs. Google Cloud Firestore vs. Spark SQL vs. SwayDB

System Properties Comparison Alibaba Cloud TSDB vs. Apache Druid vs. Google Cloud Firestore vs. Spark SQL vs. SwayDB

Editorial information provided by DB-Engines
NameAlibaba Cloud TSDB  Xexclude from comparisonApache Druid  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonSpark SQL  Xexclude from comparisonSwayDB  Xexclude from comparison
DescriptionA stable, reliable, and cost-effective online high-performance time series database serviceOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.Spark SQL is a component on top of 'Spark Core' for structured data processingAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelTime Series DBMSRelational DBMS
Time Series DBMS
Document storeRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#301  Overall
#26  Time Series DBMS
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score7.36
Rank#53  Overall
#9  Document stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.04
Rank#387  Overall
#61  Key-value stores
Websitewww.alibabacloud.com/­product/­hitsdbdruid.apache.orgfirebase.google.com/­products/­firestorespark.apache.org/­sqlswaydb.simer.au
Technical documentationwww.alibabacloud.com/­help/­en/­time-series-database/­latest/­what-is-tsdbdruid.apache.org/­docs/­latest/­designfirebase.google.com/­docs/­firestorespark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAlibabaApache Software Foundation and contributorsGoogleApache Software FoundationSimer Plaha
Initial release2012201720142018
Current release29.0.1, April 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2commercialOpen Source infoApache 2.0Open Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScalaScala
Server operating systemshostedLinux
OS X
Unix
hostedLinux
OS X
Windows
Data schemeschema-freeyes infoschema-less columns are supportedschema-freeyesschema-free
Typing infopredefined data types such as float or dateNumeric data and Stringsyesyesyesno
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 indexesnoyesyesnono
SQL infoSupport of SQLnoSQL for queryingnoSQL-like DML and DDL statementsno
APIs and other access methodsHTTP RESTJDBC
RESTful HTTP/JSON API
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
Supported programming languagesJavaClojure
JavaScript
PHP
Python
R
Ruby
Scala
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Java
Python
R
Scala
Java
Kotlin
Scala
Server-side scripts infoStored proceduresnonoyes, Firebase Rules & Cloud Functionsnono
Triggersnonoyes, with Cloud Functionsnono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesMulti-source replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoUsing Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoyesnoAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes
User concepts infoAccess controlAccess managed on TSDB instance levelRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.nono

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More resources
Alibaba Cloud TSDBApache DruidGoogle Cloud FirestoreSpark SQLSwayDB
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