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DBMS > Google Cloud Bigtable vs. Hypertable vs. RocksDB vs. Sqrrl vs. TerminusDB

System Properties Comparison Google Cloud Bigtable vs. Hypertable vs. RocksDB vs. Sqrrl vs. TerminusDB

Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonHypertable  Xexclude from comparisonRocksDB  Xexclude from comparisonSqrrl  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.An open source BigTable implementation based on distributed file systems such as HadoopEmbeddable persistent key-value store optimized for fast storage (flash and RAM)Adaptable, secure NoSQL built on Apache AccumuloScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelKey-value store
Wide column store
Wide column storeKey-value storeDocument store
Graph DBMS
Key-value store
Wide column store
Graph DBMS
Secondary database modelsDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.97
Rank#92  Overall
#15  Key-value stores
#8  Wide column stores
Score2.84
Rank#97  Overall
#16  Key-value stores
Score0.19
Rank#311  Overall
#27  Graph DBMS
Websitecloud.google.com/­bigtablerocksdb.orgsqrrl.comterminusdb.com
Technical documentationcloud.google.com/­bigtable/­docsgithub.com/­facebook/­rocksdb/­wikiterminusdb.github.io/­terminusdb/­#
DeveloperGoogleHypertable Inc.Facebook, Inc.Amazon infooriginally Sqrrl Data, Inc.DataChemist Ltd.
Initial release20152009201320122018
Current release0.9.8.11, March 20169.4.0, June 202411.0.0, January 2023
License infoCommercial or Open SourcecommercialOpen Source infoGNU version 3. Commercial license availableOpen Source infoBSDcommercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++JavaProlog, Rust
Server operating systemshostedLinux
OS X
Windows infoan inofficial Windows port is available
LinuxLinuxLinux
Data schemeschema-freeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenononoyesyes
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 indexesnorestricted infoonly exact value or prefix value scansnoyes
SQL infoSupport of SQLnonononoSQL-like query language (WOQL)
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
C++ API
Thrift
C++ API
Java API
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C++
Java
Perl
PHP
Python
Ruby
C
C++
Go
Java
Perl
Python
Ruby
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
JavaScript
Python
Server-side scripts infoStored proceduresnonononoyes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioningSharding infomaking use of HadoopGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesselectable replication factor on file system levelyesselectable replication factor infomaking use of HadoopJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnoyesAtomic updates per row, document, or graph entityACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)nonoCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)Role-based access control

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More resources
Google Cloud BigtableHypertableRocksDBSqrrlTerminusDB infoformer name was DataChemist
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