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DBMS > BigObject vs. EsgynDB vs. Microsoft Azure AI Search vs. ScyllaDB

System Properties Comparison BigObject vs. EsgynDB vs. Microsoft Azure AI Search vs. ScyllaDB

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonEsgynDB  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonScyllaDB  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionSearch-as-a-service for web and mobile app developmentCassandra and DynamoDB compatible wide column store
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSSearch engineWide column store
Secondary database modelsVector DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score4.08
Rank#76  Overall
#5  Wide column stores
Websitebigobject.iowww.esgyn.cnazure.microsoft.com/­en-us/­services/­searchwww.scylladb.com
Technical documentationdocs.bigobject.iolearn.microsoft.com/­en-us/­azure/­searchdocs.scylladb.com
DeveloperBigObject, Inc.EsgynMicrosoftScyllaDB
Initial release2015201520152015
Current releaseV1ScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercialcommercialOpen Source infoOpen Source (AGPL), commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesno
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 languageC++, JavaC++
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
LinuxhostedLinux
Data schemeyesyesyesschema-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 indexesyesyesyesyes infocluster global secondary indices
SQL infoSupport of SQLSQL-like DML and DDL statementsyesnoSQL-like DML and DDL statements (CQL)
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
RESTful HTTP APIProprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC#
Java
JavaScript
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
Server-side scripts infoStored proceduresLuaJava Stored Proceduresnoyes, Lua
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication between multi datacentersyes infoImplicit feature of the cloud serviceselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono 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 persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes infoin-memory tables
User concepts infoAccess controlnofine grained access rights according to SQL-standardyes infousing Azure authenticationAccess rights for users can be defined per object
More information provided by the system vendor
BigObjectEsgynDBMicrosoft Azure AI SearchScyllaDB
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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BigObjectEsgynDBMicrosoft Azure AI SearchScyllaDB
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