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DBMS > Hazelcast vs. HugeGraph vs. ScyllaDB vs. YDB

System Properties Comparison Hazelcast vs. HugeGraph vs. ScyllaDB vs. YDB

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Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonHugeGraph  Xexclude from comparisonScyllaDB  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionA widely adopted in-memory data gridA fast-speed and highly-scalable Graph DBMSCassandra and DynamoDB compatible wide column storeA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelKey-value storeGraph DBMSWide column storeDocument store
Relational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.46
Rank#61  Overall
#7  Key-value stores
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score4.08
Rank#76  Overall
#5  Wide column stores
Score0.33
Rank#287  Overall
#43  Document stores
#132  Relational DBMS
Websitehazelcast.comgithub.com/­hugegraph
hugegraph.apache.org
www.scylladb.comgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationhazelcast.org/­imdg/­docshugegraph.apache.org/­docsdocs.scylladb.comydb.tech/­en/­docs
DeveloperHazelcastBaiduScyllaDBYandex
Initial release2008201820152019
Current release5.3.6, November 20230.9ScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache Version 2.0Open Source infoOpen Source (AGPL), commercial license availableOpen Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageJavaJavaC++
Server operating systemsAll OS with a Java VMLinux
macOS
Unix
LinuxLinux
Data schemeschema-freeyesschema-freeFlexible Schema (defined schema, partial schema, schema free)
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.yes infothe object must implement a serialization strategynonono
Secondary indexesyesyes infoalso supports composite index and range indexyes infocluster global secondary indicesyes
SQL infoSupport of SQLSQL-like query languagenoSQL-like DML and DDL statements (CQL)SQL-like query language (YQL)
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
Java 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
RESTful HTTP API (DynamoDB compatible)
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Groovy
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
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresyes infoEvent Listeners, Executor Servicesasynchronous Gremlin script jobsyes, Luano
Triggersyes infoEventsnono
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated Mapyes infodepending on used storage backend, e.g. Cassandra and HBaseselectable replication factor infoRepresentation of geographical distribution of servers is possibleActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesvia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Immediate Consistency
Foreign keys infoReferential integritynoyes infoedges in graphnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitedACIDno infoAtomicity and isolation are supported for single operationsACID
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.yesyesyes infoin-memory tablesno
User concepts infoAccess controlRole-based access controlUsers, roles and permissionsAccess rights for users can be defined per objectAccess rights defined for Yandex Cloud users
More information provided by the system vendor
HazelcastHugeGraphScyllaDBYDB
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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HazelcastHugeGraphScyllaDBYDB
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