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DBMS > CockroachDB vs. Google Cloud Bigtable vs. HarperDB vs. HugeGraph

System Properties Comparison CockroachDB vs. Google Cloud Bigtable vs. HarperDB vs. HugeGraph

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Editorial information provided by DB-Engines
NameCockroachDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonHarperDB  Xexclude from comparisonHugeGraph  Xexclude from comparison
DescriptionCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Ultra-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 fast-speed and highly-scalable Graph DBMS
Primary database modelRelational DBMSKey-value store
Wide column store
Document storeGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.10
Rank#58  Overall
#33  Relational DBMS
Score3.58
Rank#92  Overall
#14  Key-value stores
#8  Wide column stores
Score0.55
Rank#252  Overall
#38  Document stores
Score0.15
Rank#339  Overall
#33  Graph DBMS
Websitewww.cockroachlabs.comcloud.google.com/­bigtablewww.harperdb.iogithub.com/­hugegraph
hugegraph.apache.org
Technical documentationwww.cockroachlabs.com/­docscloud.google.com/­bigtable/­docsdocs.harperdb.io/­docshugegraph.apache.org/­docs
DeveloperCockroach LabsGoogleHarperDBBaidu
Initial release2015201520172018
Current release23.1.1, May 20233.1, August 20210.9
License infoCommercial or Open SourceOpen Source infoApache 2.0, commercial license availablecommercialcommercial infofree community edition availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoNode.jsJava
Server operating systemsLinux
macOS
Windows
hostedLinux
OS X
Linux
macOS
Unix
Data schemedynamic schemaschema-freedynamic schemayes
Typing infopredefined data types such as float or dateyesnoyes 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 indexesyesnoyesyes infoalso supports composite index and range index
SQL infoSupport of SQLyes, wire compatible with PostgreSQLnoSQL-like data manipulation statementsno
APIs and other access methodsJDBCgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Java API
RESTful HTTP API
TinkerPop Gremlin
Supported programming languagesC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
C#
C++
Go
Java
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
Groovy
Java
Python
Server-side scripts infoStored proceduresnonoCustom Functions infosince release 3.1asynchronous Gremlin script jobs
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTShardingA table resides as a whole on one (or more) nodes in a clusteryes infodepending on used storage backend, e.g. Cassandra and HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTInternal replication in Colossus, and regional replication between two clusters in different zonesyes infothe nodes on which a table resides can be definedyes infodepending on used storage backend, e.g. Cassandra and HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnovia hugegraph-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnonoyes infoedges in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-row operationsAtomic execution of specific operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes, using LMDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlRole-based access controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users and rolesUsers, roles and permissions

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More resources
CockroachDBGoogle Cloud BigtableHarperDBHugeGraph
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