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DBMS > AlaSQL vs. Apache IoTDB vs. Prometheus vs. ScyllaDB

System Properties Comparison AlaSQL vs. Apache IoTDB vs. Prometheus vs. ScyllaDB

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Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonApache IoTDB  Xexclude from comparisonPrometheus  Xexclude from comparisonScyllaDB  Xexclude from comparison
DescriptionJavaScript DBMS libraryAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkOpen-source Time Series DBMS and monitoring systemCassandra and DynamoDB compatible wide column store
Primary database modelDocument store
Relational DBMS
Time Series DBMSTime Series DBMSWide column store
Secondary database modelsKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#256  Overall
#40  Document stores
#118  Relational DBMS
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score4.08
Rank#76  Overall
#5  Wide column stores
Websitealasql.orgiotdb.apache.orgprometheus.iowww.scylladb.com
Technical documentationgithub.com/­AlaSQL/­alasqliotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlprometheus.io/­docsdocs.scylladb.com
DeveloperAndrey Gershun & Mathias R. WulffApache Software FoundationScyllaDB
Initial release2014201820152015
Current release1.1.0, April 2023ScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoOpen Source (AGPL), commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageJavaScriptJavaGoC++
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)All OS with a Java VM (>= 1.8)Linux
Windows
Linux
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenoyesNumeric data onlyyes
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.nonono infoImport of XML data possibleno
Secondary indexesnoyesnoyes infocluster global secondary indices
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.SQL-like query languagenoSQL-like DML and DDL statements (CQL)
APIs and other access methodsJavaScript APIJDBC
Native API
RESTful HTTP/JSON APIProprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languagesJavaScriptC
C#
C++
Go
Java
Python
Scala
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
Server-side scripts infoStored proceduresnoyesnoyes, Lua
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by time range) + vertical partitioning (by deviceId)ShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyes infoby Federationselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoIntegration with Hadoop and Sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Strong Consistency with Raft
noneEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storagenonono infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes infoin-memory tables
User concepts infoAccess controlnoyesnoAccess rights for users can be defined per object
More information provided by the system vendor
AlaSQLApache IoTDBPrometheusScyllaDB
Specific characteristicsScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» more
Competitive advantagesHighly-performant (efficiently utilizes full resources of a node and network; millions...
» more
Typical application scenariosScyllaDB is ideal for applications that require high throughput and low latency at...
» more
Key customersDiscord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» more
Market metricsScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» more
Licensing and pricing modelsScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more

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AlaSQLApache IoTDBPrometheusScyllaDB
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