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DBMS > Altibase vs. Graph Engine vs. Hypertable vs. ScyllaDB

System Properties Comparison Altibase vs. Graph Engine vs. Hypertable vs. ScyllaDB

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Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonHypertable  Xexclude from comparisonScyllaDB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionAn enterprise grade, high-performance RDBMSA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineAn open source BigTable implementation based on distributed file systems such as HadoopCassandra and DynamoDB compatible wide column store
Primary database modelRelational DBMSGraph DBMS
Key-value store
Wide column storeWide column store
Secondary database modelsKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#186  Overall
#87  Relational DBMS
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score4.75
Rank#68  Overall
#5  Wide column stores
Websitealtibase.comwww.graphengine.iowww.scylladb.com
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualswww.graphengine.io/­docs/­manualdocs.scylladb.com
DeveloperAltibaseMicrosoftHypertable Inc.ScyllaDB
Initial release1999201020092015
Current releasev7.3, 2023, August 20230.9.8.11, March 2016ScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023Open Source infoMIT LicenseOpen Source infoGNU version 3. Commercial license availableOpen Source infoOpen Source (AGPL), 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 languageC++.NET and CC++C++
Server operating systemsAIX
HP-UX
Linux
.NETLinux
OS X
Windows infoan inofficial Windows port is available
Linux
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyes
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 indexesyesrestricted infoonly exact value or prefix value scansyes infocluster global secondary indices
SQL infoSupport of SQLANSI SQL-92nonoSQL-like DML and DDL statements (CQL)
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP APIC++ API
Thrift
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languagesC
C++
Java
C#
C++
F#
Visual Basic
C++
Java
Perl
PHP
Python
Ruby
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
Server-side scripts infoStored proceduresstored procedures and stored functionsyesnoyes, Lua
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor on file system levelselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoin-memory tables
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess rights for users can be defined per object
More information provided by the system vendor
AltibaseGraph Engine infoformer name: TrinityHypertableScyllaDB
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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More resources
AltibaseGraph Engine infoformer name: TrinityHypertableScyllaDB
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