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DBMS > GreptimeDB vs. ScyllaDB vs. Spark SQL vs. STSdb

System Properties Comparison GreptimeDB vs. ScyllaDB vs. Spark SQL vs. STSdb

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Editorial information provided by DB-Engines
NameGreptimeDB  Xexclude from comparisonScyllaDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionAn open source Time Series DBMS built for increased scalability, high performance and efficiencyCassandra and DynamoDB compatible wide column storeSpark SQL is a component on top of 'Spark Core' for structured data processingKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelTime Series DBMSWide column storeRelational DBMSKey-value store
Secondary database modelsKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score4.08
Rank#76  Overall
#5  Wide column stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.10
Rank#357  Overall
#51  Key-value stores
Websitegreptime.comwww.scylladb.comspark.apache.org/­sqlgithub.com/­STSSoft/­STSdb4
Technical documentationdocs.greptime.comdocs.scylladb.comspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperGreptime Inc.ScyllaDBApache Software FoundationSTS Soft SC
Initial release2022201520142011
Current releaseScyllaDB Open Source 5.4.1, January 20243.5.0 ( 2.13), September 20234.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoOpen Source (AGPL), commercial license availableOpen Source infoApache 2.0Open Source infoGPLv2, 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 languageRustC++ScalaC#
Server operating systemsAndroid
Docker
FreeBSD
Linux
macOS
Windows
LinuxLinux
OS X
Windows
Windows
Data schemeschema-free, schema definition possibleschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes infoprimitive types and user defined types (classes)
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
Secondary indexesyesyes infocluster global secondary indicesnono
SQL infoSupport of SQLyesSQL-like DML and DDL statements (CQL)SQL-like DML and DDL statementsno
APIs and other access methodsgRPC
HTTP API
JDBC
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
JDBC
ODBC
.NET Client API
Supported programming languagesC++
Erlang
Go
Java
JavaScript
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
Java
Python
R
Scala
C#
Java
Server-side scripts infoStored proceduresPythonyes, Luanono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoRepresentation of geographical distribution of servers is possiblenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsnono
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.yes infoin-memory tablesno
User concepts infoAccess controlSimple rights management via user accountsAccess rights for users can be defined per objectnono
More information provided by the system vendor
GreptimeDBScyllaDBSpark SQLSTSdb
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
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ScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
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Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
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Highly-performant (efficiently utilizes full resources of a node and network; millions...
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Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
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ScyllaDB is ideal for applications that require high throughput and low latency at...
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Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
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Discord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
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ScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more
ScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more

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GreptimeDBScyllaDBSpark SQLSTSdb
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