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DBMS > BigObject vs. Ehcache vs. OrientDB vs. ScyllaDB

System Properties Comparison BigObject vs. Ehcache vs. OrientDB vs. ScyllaDB

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonEhcache  Xexclude from comparisonOrientDB  Xexclude from comparisonScyllaDB  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesA widely adopted Java cache with tiered storage optionsMulti-model DBMS (Document, Graph, Key/Value)Cassandra and DynamoDB compatible wide column store
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedKey-value storeDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score4.89
Rank#67  Overall
#8  Key-value stores
Score3.19
Rank#93  Overall
#16  Document stores
#7  Graph DBMS
#14  Key-value stores
Score4.75
Rank#68  Overall
#5  Wide column stores
Websitebigobject.iowww.ehcache.orgorientdb.orgwww.scylladb.com
Technical documentationdocs.bigobject.iowww.ehcache.org/­documentationwww.orientdb.com/­docs/­last/­index.htmldocs.scylladb.com
DeveloperBigObject, Inc.Terracotta Inc, owned by Software AGOrientDB LTD; CallidusCloud; SAPScyllaDB
Initial release2015200920102015
Current release3.10.0, March 20223.2.29, March 2024ScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache version 2Open Source infoOpen Source (AGPL), 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 systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
All OS with a Java VMAll OS with a Java JDK (>= JDK 6)Linux
Data schemeyesschema-freeschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")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.nononono
Secondary indexesyesnoyesyes infocluster global secondary indices
SQL infoSupport of SQLSQL-like DML and DDL statementsnoSQL-like query language, no joinsSQL-like DML and DDL statements (CQL)
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
JCacheTinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languagesJava.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
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
Server-side scripts infoStored proceduresLuanoJava, Javascriptyes, Lua
Triggersnoyes infoCache Event ListenersHooksno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoby using Terracotta ServerShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoby using Terracotta ServerMulti-source replicationselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infocould be achieved with distributed queriesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneTunable Consistency (Strong, Eventual, Weak)Eventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnoyes inforelationship in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes infosupports JTA and can work as an XA resourceACIDno infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyes
Durability infoSupport for making data persistentyesyes infousing a tiered cache-storage approachyesyes
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 controlnonoAccess rights for users and roles; record level security configurableAccess rights for users can be defined per object
More information provided by the system vendor
BigObjectEhcacheOrientDBScyllaDB
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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