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DBMS > FeatureBase vs. Google Cloud Bigtable vs. Graphite vs. HarperDB vs. SurrealDB

System Properties Comparison FeatureBase vs. Google Cloud Bigtable vs. Graphite vs. HarperDB vs. SurrealDB

Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonGraphite  Xexclude from comparisonHarperDB  Xexclude from comparisonSurrealDB  Xexclude from comparison
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Data logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.A fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelRelational DBMSKey-value store
Wide column store
Time Series DBMSDocument storeDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score4.83
Rank#67  Overall
#4  Time Series DBMS
Score0.60
Rank#244  Overall
#38  Document stores
Score1.02
Rank#190  Overall
#33  Document stores
#18  Graph DBMS
Websitewww.featurebase.comcloud.google.com/­bigtablegithub.com/­graphite-project/­graphite-webwww.harperdb.iosurrealdb.com
Technical documentationdocs.featurebase.comcloud.google.com/­bigtable/­docsgraphite.readthedocs.iodocs.harperdb.io/­docssurrealdb.com/­docs
DeveloperMolecula and Pilosa Open Source ContributorsGoogleChris DavisHarperDBSurrealDB Ltd
Initial release20172015200620172022
Current release2022, May 20223.1, August 2021v1.5.0, May 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercial infofree community edition availableOpen Source
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoPythonNode.jsRust
Server operating systemsLinux
macOS
hostedLinux
Unix
Linux
OS X
Linux
macOS
Windows
Data schemeyesschema-freeyesdynamic schemaschema-free
Typing infopredefined data types such as float or dateyesnoNumeric data onlyyes infoJSON data typesyes
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 indexesnononoyes
SQL infoSupport of SQLSQL queriesnonoSQL-like data manipulation statementsSQL-like query language
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP API
Sockets
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
GraphQL
RESTful HTTP API
WebSocket
Supported programming languagesJava
Python
C#
C++
Go
Java
JavaScript (Node.js)
Python
JavaScript (Node.js)
Python
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresnonoCustom Functions infosince release 3.1
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneA table resides as a whole on one (or more) nodes in a cluster
Replication methods infoMethods for redundantly storing data on multiple nodesyesInternal replication in Colossus, and regional replication between two clusters in different zonesnoneyes infothe nodes on which a table resides can be defined
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)noneImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesAtomic single-row operationsnoAtomic execution of specific operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infolockingyesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyesyesyes, using LMDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noAccess rights for users and rolesyes, based on authentication and database rules

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More resources
FeatureBaseGoogle Cloud BigtableGraphiteHarperDBSurrealDB
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