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DBMS > HugeGraph vs. ScyllaDB vs. Solr vs. SWC-DB

System Properties Comparison HugeGraph vs. ScyllaDB vs. Solr vs. SWC-DB

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Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonScyllaDB  Xexclude from comparisonSolr  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSCassandra and DynamoDB compatible wide column storeA widely used distributed, scalable search engine based on Apache LuceneA high performance, scalable Wide Column DBMS
Primary database modelGraph DBMSWide column storeSearch engineWide column store
Secondary database modelsKey-value storeSpatial DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score4.08
Rank#76  Overall
#5  Wide column stores
Score41.02
Rank#24  Overall
#3  Search engines
Score0.08
Rank#364  Overall
#13  Wide column stores
Websitegithub.com/­hugegraph
hugegraph.apache.org
www.scylladb.comsolr.apache.orggithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationhugegraph.apache.org/­docsdocs.scylladb.comsolr.apache.org/­resources.html
DeveloperBaiduScyllaDBApache Software FoundationAlex Kashirin
Initial release2018201520062020
Current release0.9ScyllaDB Open Source 5.4.1, January 20249.6.1, May 20240.5, April 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoOpen Source (AGPL), commercial license availableOpen Source infoApache Version 2Open Source infoGPL V3
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++JavaC++
Server operating systemsLinux
macOS
Unix
LinuxAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
Data schemeyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-free
Typing infopredefined data types such as float or dateyesyesyes infosupports customizable data types and automatic typing
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.nonoyesno
Secondary indexesyes infoalso supports composite index and range indexyes infocluster global secondary indicesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnoSQL-like DML and DDL statements (CQL)Solr Parallel SQL InterfaceSQL-like query language
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Java API
RESTful HTTP/JSON API
Proprietary protocol
Thrift
Supported programming languagesGroovy
Java
Python
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
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C++
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsyes, LuaJava pluginsno
Triggersnonoyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseselectable replication factor infoRepresentation of geographical distribution of servers is possibleyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoAtomicity and isolation are supported for single operationsoptimistic locking
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.yesyes infoin-memory tablesyesno
User concepts infoAccess controlUsers, roles and permissionsAccess rights for users can be defined per objectyes
More information provided by the system vendor
HugeGraphScyllaDBSolrSWC-DB infoSuper Wide Column Database
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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HugeGraphScyllaDBSolrSWC-DB infoSuper Wide Column Database
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