DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > BoltDB vs. Heroic vs. Ingres vs. Newts vs. RocksDB

System Properties Comparison BoltDB vs. Heroic vs. Ingres vs. Newts vs. RocksDB

Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonHeroic  Xexclude from comparisonIngres  Xexclude from comparisonNewts  Xexclude from comparisonRocksDB  Xexclude from comparison
DescriptionAn embedded key-value store for Go.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchWell established RDBMSTime Series DBMS based on CassandraEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelKey-value storeTime Series DBMSRelational DBMSTime Series DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#220  Overall
#31  Key-value stores
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score3.65
Rank#85  Overall
#11  Key-value stores
Websitegithub.com/­boltdb/­boltgithub.com/­spotify/­heroicwww.actian.com/­databases/­ingresopennms.github.io/­newtsrocksdb.org
Technical documentationspotify.github.io/­heroicdocs.actian.com/­ingresgithub.com/­OpenNMS/­newts/­wikigithub.com/­facebook/­rocksdb/­wiki
DeveloperSpotifyActian CorporationOpenNMS GroupFacebook, Inc.
Initial release201320141974 infooriginally developed at University Berkely in early 1970s20142013
Current release11.2, May 20228.11.4, April 2024
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache 2.0commercialOpen Source infoApache 2.0Open Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaCJavaC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
OS X
Windows
Linux
Data schemeschema-freeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or datenoyesyesyesno
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 infobut tools for importing/exporting data from/to XML-files availablenono
Secondary indexesnoyes infovia Elasticsearchyesnono
SQL infoSupport of SQLnonoyesnono
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
HTTP REST
Java API
C++ API
Java API
Supported programming languagesGoJavaC
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresnonoyesnono
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslySharding infobased on Cassandrahorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesIngres Replicatorselectable replication factor infobased on Cassandrayes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Immediate Consistency
Immediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDnoyes
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyesyes
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.nonononoyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardnono

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesSpeedb: A high performance RocksDB-compliant key-value store optimized for write-intensive workloads.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
BoltDBHeroicIngresNewtsRocksDB
Recent citations in the news

4 Instructive Postmortems on Data Downtime and Loss
1 March 2024, The Hacker News

Grafana Loki: Architecture Summary and Running in Kubernetes
14 March 2023, hackernoon.com

Roblox’s cloud-native catastrophe: A post mortem
31 January 2022, InfoWorld

How to Put a GUI on Ansible, Using Semaphore
22 April 2023, The New Stack

provided by Google News

Review: Google Bigtable scales with ease
7 September 2016, InfoWorld

provided by Google News

New startup from Postgres creator puts the database at heart of software stack
12 March 2024, TechCrunch

Postgres pioneer Michael Stonebraker promises to upend the database once more
26 December 2023, The Register

Actian Launches Ingres as a Fully-Managed Cloud Service
24 September 2021, Integration Developers

PostgreSQL now top developer choice ahead of MySQL, according to massive new survey • DEVCLASS
13 June 2023, DevClass

Dr. Michael Stonebraker: A Short History of Database Systems
1 February 2019, The New Stack

provided by Google News

Farewell, Froggy: The Age of Ribbit Is Nearing an End
25 May 2013, Mother Jones

provided by Google News

Did Rockset Just Solve Real-Time Analytics?
25 August 2021, Datanami

Meta’s Velox Means Database Performance Is Not Subject To Interpretation
31 August 2022, The Next Platform

Linux 6.9 Drives AMD 4th Gen EPYC Performance Even Higher For Some Workloads
29 March 2024, Phoronix

Power your Kafka Streams application with Amazon MSK and AWS Fargate | Amazon Web Services
10 August 2021, AWS Blog

Intel Linux Optimizations Help AMD EPYC "Genoa" Improve Scaling To 384 Threads
6 April 2023, Phoronix

provided by Google News



Share this page

Featured Products

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Present your product here