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DBMS > Blueflood vs. Memgraph vs. ScyllaDB vs. Spark SQL

System Properties Comparison Blueflood vs. Memgraph vs. ScyllaDB vs. Spark SQL

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Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonMemgraph  Xexclude from comparisonScyllaDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on CassandraAn open source graph database built for real-time streaming and compatible with Neo4jCassandra and DynamoDB compatible wide column storeSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelTime Series DBMSGraph DBMSWide column storeRelational DBMS
Secondary database modelsKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#353  Overall
#34  Time Series DBMS
Score3.02
Rank#98  Overall
#8  Graph DBMS
Score4.75
Rank#68  Overall
#5  Wide column stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websiteblueflood.iomemgraph.comwww.scylladb.comspark.apache.org/­sql
Technical documentationgithub.com/­rax-maas/­blueflood/­wikimemgraph.com/­docsdocs.scylladb.comspark.apache.org/­docs/­latest/­sql-programming-guide.html
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperRackspaceMemgraph LtdScyllaDBApache Software Foundation
Initial release2013201720152014
Current releaseScyllaDB Open Source 5.4.1, January 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoBSL 1.1; commercial license for enterprise edition availableOpen Source infoOpen Source (AGPL), commercial license availableOpen Source infoApache 2.0
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 languageJavaC and C++C++Scala
Server operating systemsLinux
OS X
LinuxLinuxLinux
OS X
Windows
Data schemepredefined schemeschema-free and schema-optionalschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononono
Secondary indexesnoyes infocluster global secondary indicesno
SQL infoSupport of SQLnonoSQL-like DML and DDL statements (CQL)SQL-like DML and DDL statements
APIs and other access methodsHTTP RESTBolt protocol
Cypher query language
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
JDBC
ODBC
Supported programming languages.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
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
Server-side scripts infoStored proceduresnoyes, Luano
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraSharding infodynamic graph partitioningShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraMulti-source replication using RAFTselectable replication factor infoRepresentation of geographical distribution of servers is possiblenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynoyes inforelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infowith snapshot isolationno infoAtomicity and isolation are supported for single operationsno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoin-memory tablesno
User concepts infoAccess controlnoUsers, roles and permissionsAccess rights for users can be defined per objectno
More information provided by the system vendor
BluefloodMemgraphScyllaDBSpark SQL
Specific characteristicsMemgraph directly connects to your streaming infrastructure so you and your team...
» more
ScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» more
Competitive advantagesBusiness Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Highly-performant (efficiently utilizes full resources of a node and network; millions...
» more
Typical application scenariosGraph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
ScyllaDB 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 modelsYou can check out our pricing model and licenses on the company website .
» more
ScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more

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More resources
BluefloodMemgraphScyllaDBSpark SQL
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