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DBMS > BigObject vs. Brytlyt vs. Google Cloud Bigtable vs. Sphinx vs. TerminusDB

System Properties Comparison BigObject vs. Brytlyt vs. Google Cloud Bigtable vs. Sphinx vs. TerminusDB

Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonBrytlyt  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonSphinx  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Open source search engine for searching in data from different sources, e.g. relational databasesScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSKey-value store
Wide column store
Search engineGraph DBMS
Secondary database modelsDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score5.98
Rank#56  Overall
#5  Search engines
Score0.17
Rank#325  Overall
#29  Graph DBMS
Websitebigobject.iobrytlyt.iocloud.google.com/­bigtablesphinxsearch.comterminusdb.com
Technical documentationdocs.bigobject.iodocs.brytlyt.iocloud.google.com/­bigtable/­docssphinxsearch.com/­docsterminusdb.github.io/­terminusdb/­#
DeveloperBigObject, Inc.BrytlytGoogleSphinx Technologies Inc.DataChemist Ltd.
Initial release20152016201520012018
Current release5.0, August 20233.5.1, February 202311.0.0, January 2023
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercialcommercialOpen Source infoGPL version 2, commercial licence availableOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++ and CUDAC++Prolog, Rust
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Linux
OS X
Windows
hostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnonoyes
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.noyes infospecific XML-type available, but no XML query functionality.nono
Secondary indexesyesyesnoyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like DML and DDL statementsyesnoSQL-like query language (SphinxQL)SQL-like query language (WOQL)
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Proprietary protocolOWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C#
C++
Go
Java
JavaScript (Node.js)
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
JavaScript
Python
Server-side scripts infoStored proceduresLuauser defined functions infoin PL/pgSQLnonoyes
Triggersnoyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationInternal replication in Colossus, and regional replication between two clusters in different zonesnoneJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDAtomic single-row operationsnoACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlnofine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noRole-based access control

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BigObjectBrytlytGoogle Cloud BigtableSphinxTerminusDB infoformer name was DataChemist
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