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DBMS > GreptimeDB vs. Lovefield vs. ScyllaDB

System Properties Comparison GreptimeDB vs. Lovefield vs. ScyllaDB

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Editorial information provided by DB-Engines
NameGreptimeDB  Xexclude from comparisonLovefield  Xexclude from comparisonScyllaDB  Xexclude from comparison
DescriptionAn open source Time Series DBMS built for increased scalability, high performance and efficiencyEmbeddable relational database for web apps written in pure JavaScriptCassandra and DynamoDB compatible wide column store
Primary database modelTime Series DBMSRelational DBMSWide column store
Secondary database modelsKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#352  Overall
#33  Time Series DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score4.75
Rank#68  Overall
#5  Wide column stores
Websitegreptime.comgoogle.github.io/­lovefieldwww.scylladb.com
Technical documentationdocs.greptime.comgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.scylladb.com
DeveloperGreptime Inc.GoogleScyllaDB
Initial release202220142015
Current release2.1.12, February 2017ScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoOpen Source (AGPL), commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
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 languageRustJavaScriptC++
Server operating systemsAndroid
Docker
FreeBSD
Linux
macOS
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
Data schemeschema-free, schema definition possibleyesschema-free
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesyesyes infocluster global secondary indices
SQL infoSupport of SQLyesSQL-like query language infovia JavaScript builder patternSQL-like DML and DDL statements (CQL)
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
Supported programming languagesC++
Erlang
Go
Java
JavaScript
JavaScriptFor 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 proceduresPythonnoyes, Lua
TriggersUsing read-only observersno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infoRepresentation of geographical distribution of servers is possible
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 integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infousing MemoryDByes infoin-memory tables
User concepts infoAccess controlSimple rights management via user accountsnoAccess rights for users can be defined per object
More information provided by the system vendor
GreptimeDBLovefieldScyllaDB
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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More resources
GreptimeDBLovefieldScyllaDB
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