Databunker alternatives and similar packages
Based on the "Database" category.
Alternatively, view Databunker alternatives based on common mentions on social networks and blogs.
-
prometheus
The Prometheus monitoring system and time series database. -
tidb
TiDB is an open-source, cloud-native, distributed, MySQL-Compatible database for elastic scale and real-time analytics. Try AI-powered Chat2Query free at : https://tidbcloud.com/free-trial -
cockroach
CockroachDB - the open source, cloud-native distributed SQL database. -
Milvus
A cloud-native vector database, storage for next generation AI applications -
influxdb
Scalable datastore for metrics, events, and real-time analytics -
vitess
Vitess is a database clustering system for horizontal scaling of MySQL. -
TinyGo
Go compiler for small places. Microcontrollers, WebAssembly (WASM/WASI), and command-line tools. Based on LLVM. -
rqlite
The lightweight, distributed relational database built on SQLite. -
groupcache
groupcache is a caching and cache-filling library, intended as a replacement for memcached in many cases. -
VictoriaMetrics
VictoriaMetrics: fast, cost-effective monitoring solution and time series database -
bytebase
The GitLab/GitHub for database DevOps. World's most advanced database DevOps and CI/CD for Developer, DBA and Platform Engineering teams. -
go-cache
An in-memory key:value store/cache (similar to Memcached) library for Go, suitable for single-machine applications. -
immudb
immudb - immutable database based on zero trust, SQL/Key-Value/Document model, tamperproof, data change history -
go-mysql-elasticsearch
Sync MySQL data into elasticsearch -
rosedb
Lightweight, fast and reliable key/value storage engine based on Bitcask. -
buntdb
BuntDB is an embeddable, in-memory key/value database for Go with custom indexing and geospatial support -
pREST
PostgreSQL ➕ REST, low-code, simplify and accelerate development, ⚡ instant, realtime, high-performance on any Postgres application, existing or new -
dbmate
:rocket: A lightweight, framework-agnostic database migration tool. -
xo
Command line tool to generate idiomatic Go code for SQL databases supporting PostgreSQL, MySQL, SQLite, Oracle, and Microsoft SQL Server -
tiedot
A rudimentary implementation of a basic document (NoSQL) database in Go -
nutsdb
A simple, fast, embeddable, persistent key/value store written in pure Go. It supports fully serializable transactions and many data structures such as list, set, sorted set. -
LinDB
LinDB is a scalable, high performance, high availability distributed time series database. -
cache2go
Concurrency-safe Go caching library with expiration capabilities and access counters -
GCache
An in-memory cache library for golang. It supports multiple eviction policies: LRU, LFU, ARC -
lotusdb
Most advanced key-value store written in Go, extremely fast, compatible with LSM tree and B+ tree, optimization of badger and bbolt. -
fastcache
Fast thread-safe inmemory cache for big number of entries in Go. Minimizes GC overhead -
gocraft/dbr (database records)
Additions to Go's database/sql for super fast performance and convenience.
InfluxDB - Power Real-Time Data Analytics at Scale
Do you think we are missing an alternative of Databunker or a related project?
README
[Databunker solution](images/databunker-solution.png)
Databunker
Databunker is a network-based, self-hosted, GDPR compliant, secure vault for personal data or PII: https://databunker.org/
Project demo is available at: https://demo.databunker.org/. Please add a star if you like our project.
We live in a world where the privacy of our information is nonexistent. The EU has been working to remediate this fallacy with GDPR, and the US (California) follows with a first sparrow called CCPA.
Databunker project is intended to ease the GDPR and CPRA compliance. It gives organizations easy-to-implement APIs and secure vault to store PII, and a privacy portal.
Databunker gives all of us, the real data owners, control of our data. Databunker allows us to know who is using our data, what is happening with our personal data and gives us the freedom to decide if we agree to that or not.
Databunker, when deployed correctly, replaces all the customer's personal records (PII) scattered in the organization's different internal databases and log files with a single randomly generated token managed by the Databunker service.
By deploying this project and moving all personal information to one place, you will comply with the following GDPR statement: Personal data should be processed in a manner that ensures appropriate security and confidentiality of the personal data, including for preventing unauthorized access to or use of personal data and the equipment used for the processing.
Diagram of old-style solution.
[picture](images/old-style-solution.png)
Diagram of Solution with Databunker
[picture](images/new-style-solution.png)
Getting started guide: https://databunker.org/doc/start/
Databunker installation guide: https://databunker.org/doc/install/
🚀 Demo
Project demo is available at: https://demo.databunker.org/
You can access the demo UI using the following account credentials:
Phone: 4444
Captcha: type as displayed
Access code: 4444
Email: [email protected]
Captcha: type as displayed
Access code: 4444
Demo root token: DEMO
🛠️ Node.js Examples
Node.js example implementing passwordless login using Databunker: https://github.com/securitybunker/databunker-nodejs-passwordless-login
Node.js example with Passport.js, Magic.Link and Databunker: https://github.com/securitybunker/databunker-nodejs-example
Secure Session Storage for Node.js apps: https://databunker.org/use-case/secure-session-storage/#databunker-support-for-nodejs
🛠️ Node.JS modules
@databunker/store
from https://github.com/securitybunker/databunker-store@databunker/session-store
from https://github.com/securitybunker/databunker-session-store
⚡ Databunker benchmark results:
https://databunker.org/doc/benchmark/
⚡ Production deployments
- Backend at https://privacybunker.io/
- Backend at https://bitbaza.io/
🚩 Send us a note if you are running Databunker in production mode, so we can add your wesbite to the list.
Privacy by design
This product, from the architecture level and down to code was built to comply with strict privacy laws such as GDPR and CCPA. Deploying this project can make your architecture privacy by design compliant. For more info, check out the following article:
https://databunker.org/use-case/privacy-by-design-default/
Transparency and Accountability principle
Any system or customer connecting to Databunker must provide an access token to authorize any operation, otherwise, the operation will be aborted. An end customer can login to his profile with a random authorization code sent by email or SMS.
All operations with personal records are saved in the audit log.
Any customer can log in to his account at Data Bunker and view the full audit of activities performed on his profile.
[Forget me](images/ui-audit-log.png)
Integrity and confidentiality
All personal data is encrypted. An audit log is written for all operations with personal records. Any request using Databunker API is done with HTTPS SSL certificate. The enterprise version supports Shamir's Secret Sharing algorithm to split the master key into a number of keys. A number of keys (that can be saved in different hands in the organization) are required to bring the system up.
🚀 Databunker quick start guide
Follow this article.
This projects provides an instant solution for GDPR compliance and user rights:
- Right of access
- Right to restrict processing / Consent withdrawal
- Right to be forgotten
- Right to rectification
- Right to data portability
🚩 NOTE: Implementing this project does not make you fully compliant with GDPR requirements and you still need to consult with an attorney specializing in privacy.
🚩 NOTE: When we use the term "Customer" we mean the data of the end-user that his information is being stored, shared, and deleted.
Right of access
Databunker extracts customer email and customer phone values out of the customers' personal records. It gives your customer passwordless access to his data stored under his account. This is done by generating a random access key sent by email or by SMS. Your customer can sign-in into Databunker, view information stored by Databunker, and make changes in compliance with a company's policy.
Right to restrict processing / Consent withdrawal
Databunker can manage all of the customer's consents and agreements in one place. Your customer can withdraw consent and as a result restrict processing in his personal portal at Databunker. For example, your customer can block newsletter service. Your backend system can use Databunker as a collection of all agreements collected using the Databunker API.
[Consent management](images/ui-consent-management.png) [Consent withdrawal](images/ui-consent-withdrawal.png)
🚩 NOTE: Databunker can call your backend script on a consent withdrawal (callback). You will have to handle these requests and remove the customer records from other 3rd party processing companies. For example from email newsletter service, etc...
Right to be forgotten
When your customer requests to execute his right to be forgotten, his private records will be wiped out of the Databunker database, giving you the possibility to leave all internal databases intact while not impacting any of your other systems.
Upon customer removal request, Databunker can call your backend script (callback) with the customer details. You will have to handle these requests and remove other customer records from the 3rd party processing companies. For example from browsing recording services, etc...
[Forget me](images/ui-forget-me.png)
🚩 NOTE: You will need to make sure that you do not have any customer identifiable information (PII) in your other databases, logs files, etc...
Right to rectification
Right to rectification is also known as data accuracy requirement. Your customer can sign-in to his personal account at Databunker and change his records, for example, change his name. Databunker can fire a callback operation with customer's details when a customer operation takes place.
[Change profile](images/ui-profile-edit-and-save.png)
Right to data portability
Your customer can sign in to his personal account at Databunker and view and extract all his records stored at Databunker.
🚩 NOTE: You will need to provide your customers with a way to extract data from other internal databases.
🚩 NOTE
Implementing this project does not make you fully compliant with GDPR requirements and you still need to consult with an attorney specializing in privacy.
Databunker use cases
Detailed information can be found at https://databunker.org/use-case/
- Personal information tokenization and storage https://databunker.org/use-case/customer-profile-storage-tokenization/
- Pseudonymized user identity for cross-border information transfer https://databunker.org/use-case/schrems-ii-compliance/
- Critical data segregation https://databunker.org/use-case/critical-data-segregation/
- Personal Data minimization https://databunker.org/use-case/data-minimization/
- Trace customer profile changes and access https://databunker.org/use-case/trace-profile-access-change/
- Temporary customer/app/session identity for 3rd party services https://databunker.org/use-case/temporary-record-identity/
- Encrypted session storage https://databunker.org/use-case/secure-session-storage/
- GDPR compliant logging https://databunker.org/use-case/gdpr-compliant-logging/
- User privacy portal https://databunker.org/use-case/user-privacy-controls/
- Consent management, i.e. withdrawal
- Passport.js support
- DPO friendly service
Blog posts, articles, or other resources that talk about Databunker:
- GDPR compliance and Databunker introduction video https://www.youtube.com/watch?v=QESOuL3LMj0
- https://oppetmoln.se/20220223/databunker-en-oppen-losning-for-gdpr-saker-lagring-av-kundinformation/
- https://privacybunker.io/blog/gdpr-guide-for-startup-founders/
- https://dbweekly.com/issues/348
- https://www.freecodecamp.org/news/how-to-stay-gdpr-compliant-with-access-logs/
- https://news.ycombinator.com/item?id=26690279
- https://stackshare.io/databunker
- https://hackernoon.com/data-leak-prevention-with-databunker-xnn33u9
- https://anchor.fm/techandmain/episodes/Huawei--Microsoft-and-DataBunker--Yuli-Stremovsky-evl385
- https://github.com/expressjs/session
- https://databunker.org/
If you published an article about Databunker send us a link at [email protected]
⭐ We always strive to make our projects better
Your feedback is very important for us.
Give us a ⭐ star if you like our product.
If you have any questions, you can contact the development team at [email protected].
Join the project slack channel to talk with developers: https://databunker.slack.com/
⭐ Spread a word to make a world a bit safer with Databunker
Help us to raise awareness. Please add a ⭐ star and share this project with your friends.