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DBMS > BigObject vs. Cloudflare Workers KV vs. Google Cloud Bigtable vs. Graphite vs. HugeGraph

System Properties Comparison BigObject vs. Cloudflare Workers KV vs. Google Cloud Bigtable vs. Graphite vs. HugeGraph

Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonGraphite  Xexclude from comparisonHugeGraph  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.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 WhisperA fast-speed and highly-scalable Graph DBMS
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedKey-value storeKey-value store
Wide column store
Time Series DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score0.32
Rank#283  Overall
#40  Key-value stores
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score4.57
Rank#73  Overall
#5  Time Series DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Websitebigobject.iowww.cloudflare.com/­developer-platform/­workers-kvcloud.google.com/­bigtablegithub.com/­graphite-project/­graphite-webgithub.com/­hugegraph
hugegraph.apache.org
Technical documentationdocs.bigobject.iodevelopers.cloudflare.com/­kv/­apicloud.google.com/­bigtable/­docsgraphite.readthedocs.iohugegraph.apache.org/­docs
DeveloperBigObject, Inc.CloudflareGoogleChris DavisBaidu
Initial release20152018201520062018
Current release0.9
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercialcommercialOpen Source infoApache 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonJava
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
hostedhostedLinux
Unix
Linux
macOS
Unix
Data schemeyesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnonoNumeric data onlyyes
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.nonononono
Secondary indexesyesnononoyes infoalso supports composite index and range index
SQL infoSupport of SQLSQL-like DML and DDL statementsnononono
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
HTTP REST
Proprietary protocol
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP API
Sockets
Java API
RESTful HTTP API
TinkerPop Gremlin
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C#
C++
Go
Java
JavaScript (Node.js)
Python
JavaScript (Node.js)
Python
Groovy
Java
Python
Server-side scripts infoStored proceduresLuanononoasynchronous Gremlin script jobs
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneyes infodepending on used storage backend, e.g. Cassandra and HBase
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesInternal replication in Colossus, and regional replication between two clusters in different zonesnoneyes infodepending on used storage backend, e.g. Cassandra and HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnovia hugegraph-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)noneEventual Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnononoyes infoedges in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoAtomic single-row operationsnoACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyes infolockingyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noUsers, roles and permissions

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More resources
BigObjectCloudflare Workers KVGoogle Cloud BigtableGraphiteHugeGraph
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