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DBMS > BigObject vs. Sadas Engine vs. ScyllaDB vs. Titan

System Properties Comparison BigObject vs. Sadas Engine vs. ScyllaDB vs. Titan

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonSadas Engine  Xexclude from comparisonScyllaDB  Xexclude from comparisonTitan  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionAnalytic DBMS for real-time computations and queriesSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsCassandra and DynamoDB compatible wide column storeTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSWide column storeGraph DBMS
Secondary database modelsKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#329  Overall
#147  Relational DBMS
Score0.00
Rank#385  Overall
#159  Relational DBMS
Score4.15
Rank#69  Overall
#5  Wide column stores
Websitebigobject.iowww.sadasengine.comwww.scylladb.comgithub.com/­thinkaurelius/­titan
Technical documentationdocs.bigobject.iowww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationdocs.scylladb.comgithub.com/­thinkaurelius/­titan/­wiki
DeveloperBigObject, Inc.SADAS s.r.l.ScyllaDBAurelius, owned by DataStax
Initial release2015200620152012
Current release8.0ScyllaDB Open Source 6.0.2, July 2024
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercial infofree trial version availableOpen Source infoOpen Source (AGPL), commercial license availableOpen Source infoApache license, version 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 languageC++C++Java
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
AIX
Linux
Windows
LinuxLinux
OS X
Unix
Windows
Data schemeyesyesschema-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.nonono
Secondary indexesyesyesyes infocluster global secondary indicesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesSQL-like DML and DDL statements (CQL)no
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languages.Net
C
C#
C++
Groovy
Java
PHP
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
Clojure
Java
Python
Server-side scripts infoStored proceduresLuanoyes, Luayes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningShardingyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneselectable replication factor infoRepresentation of geographical distribution of servers is possibleyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesyesnoyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoAtomicity and isolation are supported for single operationsACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infomanaged by 'Learn by Usage'yes infoin-memory tables
User concepts infoAccess controlnoAccess rights for users, groups and roles according to SQL-standardAccess rights for users can be defined per objectUser authentification and security via Rexster Graph Server
More information provided by the system vendor
BigObjectSadas EngineScyllaDBTitan
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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BigObjectSadas EngineScyllaDBTitan
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