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DBMS > Badger vs. Google Cloud Spanner vs. Hypertable vs. QuestDB

System Properties Comparison Badger vs. Google Cloud Spanner vs. Hypertable vs. QuestDB

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonHypertable  Xexclude from comparisonQuestDB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.A horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.An open source BigTable implementation based on distributed file systems such as HadoopA high performance open source SQL database for time series data
Primary database modelKey-value storeRelational DBMSWide column storeTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#328  Overall
#48  Key-value stores
Score2.69
Rank#101  Overall
#51  Relational DBMS
Score2.81
Rank#98  Overall
#7  Time Series DBMS
Websitegithub.com/­dgraph-io/­badgercloud.google.com/­spannerquestdb.io
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgercloud.google.com/­spanner/­docsquestdb.io/­docs
DeveloperDGraph LabsGoogleHypertable Inc.QuestDB Technology Inc
Initial release2017201720092014
Current release0.9.8.11, March 2016
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoGNU version 3. Commercial license availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++Java (Zero-GC), C++, Rust
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedLinux
OS X
Windows infoan inofficial Windows port is available
Linux
macOS
Windows
Data schemeschema-freeyesschema-freeyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or datenoyesnoyes
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 indexesnoyesrestricted infoonly exact value or prefix value scansno
SQL infoSupport of SQLnoyes infoQuery statements complying to ANSI 2011noSQL with time-series extensions
APIs and other access methodsgRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
C++ API
Thrift
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languagesGoGo
Java
JavaScript (Node.js)
Python
C++
Java
Perl
PHP
Python
Ruby
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresnononono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardinghorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication with 3 replicas for regional instances.selectable replication factor on file system levelSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflowyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoStrict serializable isolationnoACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infothrough memory mapped files
User concepts infoAccess controlnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)no
More information provided by the system vendor
BadgerGoogle Cloud SpannerHypertableQuestDB
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