Saying FerretDB 1.0 GA – a really Open Supply MongoDB various
After a number of months of growth, FerretDB is now production-ready.
We’re excited to announce the overall availability of FerretDB, a really Open Supply MongoDB various, constructed on PostgreSQL, and launched underneath the Apache 2.0 license.
MongoDB is no longer open source.
We wish to convey MongoDB database workloads again to its open supply roots.
We’re enabling PostgreSQL and different database backends to run MongoDB workloads, retaining the alternatives offered by the present ecosystem round MongoDB.
- Deploy anyplace + keep accountable for your information
- Use it freely in your cloud-based tasks
- Use your current PostgreSQL infra to run MongoDB workloads
How you can get began
We provide Docker photographs for manufacturing use and growth, in addition to RPM and DEB packages.
If you need to check FerretDB, we offer an All-in-one Docker picture, containing all the pieces you want to consider FerretDB with PostgreSQL.
Get started with the All-in-one package here.
Moreover, because of our companions, FerretDB is on the market on two cloud suppliers for testing:
Predominant characteristic additions to GA
On this GA launch, FerretDB now helps the createIndexes command.
This may allow you to specify the fields you wish to index, and likewise the kind of index to make use of (e.g. ascending, descending, or hashed).
For example, suppose you could have a customers assortment containing a number of fields, together with “age”, “identify”, and “electronic mail”, and also you wish to create an index on the “age” subject.
Now you can run the next command:
db.customers.createIndex({ age: 1 })
This may create an ascending index on the “age” subject, which is able to velocity up any queries that filter on that subject.
We have additionally added the dropIndexes command, which lets you take away an index from a group.
This is an instance:
db.customers.dropIndex({ age: 1 })
This may take away the index from the “customers” assortment.
We have now expanded our aggregation pipeline performance to incorporate further levels, similar to $unwind, $restrict and $skip, along with the $sum accumulator inside the $group stage.
With these additions, we are able to carry out extra refined calculations and manipulations of assortment information.
Along with these, we additionally added help for depend and storageStats fields in $collStats aggregation pipeline stage.
That will help you collect extra details about your collections, databases, and server efficiency, we have enabled partial help for a number of server instructions, together with collStats, dbStats, and dataSize.
To retrieve statistics a few assortment, use the collStats command like this:
db.runCommand({ collStats: "customers" })
If the statistics is concerning the database, run the command beneath:
db.runCommand({ dbStats: 1 })
For the whole information dimension of a group, run the next command:
db.runCommand({ dataSize: "<database>.<assortment>" })
So the place are we now?
With the discharge of FerretDB 1.0 GA, no breaking adjustments will likely be launched within the upcoming minor variations.
We’re additionally proud to announce that FerretDB now has:
- ???????????? Over 40 code contributors with greater than 130 merged pull requests from our group (see our thanks notes beneath)
- ⭐️ Over 5300 Stars and 200 Forks on GitHub
- ???? Over 100 operating situations with telemetry enabled
- ⏫ Over 10000 FerretDB downloads
With the discharge of FerretDB 1.0, these numbers will solely proceed to develop.
We’re executing on our roadmap, and are planning so as to add extra vital options within the coming months.
Get began with FerretDB 1.0 GA here.
The place are we headed?
We’re creating a brand new customary for doc databases with MongoDB compatibility.
FerretDB is a drop-in alternative for MongoDB, nevertheless it additionally goals to set a brand new customary which not solely brings straightforward to make use of doc databases again to its open supply roots, but additionally allows totally different database engines to run doc database workloads in utilizing a standardized interface.
Additionally, FerretDB will supply the flexibleness of doc databases, with the chance to run queries on the identical information set utilizing SQL.
What’s FerretDB GA able to?
FerretDB 1.0 GA consists of all of the important options able to operating doc database workloads.
We’re testing FerretDB in opposition to real-world functions, like FastNetMon, the Enmeshed Connector, BigBlueButton, Strapi, or frameworks similar to MeteorJS, amongst others.
We additionally confirmed that standard database administration instruments similar to mongosh, MongoDB Compass, NoSQL Booster, Mingo are in a position to leverage the present characteristic set of FerretDB.
It’s like managing a MongoDB database, however it’s FerretDB (and open supply) underneath the hood.
We expect that is insanely cool!
What database backends does FerretDB help?
FerretDB affords a completely pluggable structure, we help different backends as nicely, and help for these could be contributed by the group.
PostgreSQL
We’re constructing FerretDB on PostgreSQL and we envision that that is going to be our predominant database backend within the foreseeable future.
That is the backend which is able to get the latest options of FerretDB.
We’re implementing options including MongoDB compatibility to Postgres primarily utilizing its JSONB capabilities.
Nevertheless, we acknowledge that we might want to depart from this strategy to extend efficiency by creating our personal extension or by means of different strategies.
Tigris
We partnered with Tigris Data so as to add help for Tigris, a backend which affords a completely managed resolution and an alternative to MongoDB Atlas.
Backend help for Tigris is now maintained by Tigris Information.
You possibly can strive it out on their website.
SAP HANA
Our associates at SAP are at the moment engaged on including SAP HANA compatibility to FerretDB, which we’re very enthusiastic about.
It’s also nice to see SAP’s dedication to open supply.
SQLite and future database backends
We’re open to including help to different backends.
At present, we’re within the strategy of including primary help for SQLite.
How can I assist?
- Present suggestions
- Contribute
- Accomplice with us
We’re working with software program publishers, infrastructure suppliers and the maintainers of standard JS frameworks to create compatibility with their software program.
In the event you assume that your software program would profit from having an alternative choice to MongoDB – please let us know.
We’re joyful to work with you.
We can be found on our Group Slack, on GitHub, and we’re additionally prepared to leap on a name with you when you’ve got concepts to debate.
Contact us today.
Thanks
We lengthen our sincerest because of our devoted group for all of the contributions and suggestions resulting in FerretDB GA.
Thanks to Instaclustr for his or her code contributions and suggestions, and Tigris as a supporter and first consumer of FerretDB in manufacturing.
Particular thanks go to: seeforschauer, ribaraka, ekalinin, fenogentov, OpenSauce, GinGin3203, DoodgeMatvey, pboros, lucboj, nicolascb, ravilushqa, fcoury, AlphaB, peakle, jyz0309, klokar, thuan1412, kropidlowsky, yu-re-ka, jkoenig134, ndkhangvl, codingmickey, zhiburt, ronaudinho, si3nloong, folex, GrandShow, narqo, taaraora, muyouming, junnplus, agneum, radmirnovii, ae-govau, hugojosefson.
There are others, after all, who’ve helped in some ways by figuring out bugs, offering suggestions, and testing FerretDB, we thanks all!
We’re joyful to welcome new members to our rising group and encourage everybody to hitch us on GitHub, and discover the numerous potentialities FerretDB has to supply.