dgraph
tidb
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dgraph | tidb | |
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34 | 27 | |
20,046 | 36,096 | |
0.6% | 0.8% | |
8.8 | 10.0 | |
1 day ago | about 8 hours ago | |
Go | Go | |
GNU General Public License v3.0 or later | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
dgraph
- DGraph – GraphQL Database
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How to choose the right type of database
Dgraph: A distributed and scalable graph database known for high performance. It's a good fit for large-scale graph processing, offering a GraphQL-like query language and gRPC API support.
- Is Dgraph dead? (should I continue using it)
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Database Review: Top Five Missing Features from Database APIs
Dgraph (GraphQL, DQL)
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Learning Graph Database data design & data modeling
Have you tried dgraph.io?
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Getting Started with Serverless Edge - Exploring the Options
DGraph – A distributed GraphQL database with a graph backend.
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Fluree DB - A datomic like database that I just discovered
How does it compare to, say grakn (renamed https://vaticle.com/, I think?), or draph (https://dgraph.io/), or Ontotext's GraphDB (https://www.ontotext.com/products/graphdb/), or Datomic?
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GKE with Consul Service Mesh
Consul Connect service mesh has a higher memory footprint, so on a small cluster with e5-medium nodes (2 vCPUs, 4 GB memory), you will only be able to support a maximum of 6 side-car proxies. In order to get an application like Dgraph working, which will have 6 nodes (3 Dgraph Alpha pods and 3 Dgraph Zero pods) for high availability along with at least one client, a larger footprint with more robust Kubernetes worker nodes were required.
- Show HN: We have built a benchmark platform for graph databases
- What's the big deal about key-value databases like FoundationDB ands RocksDB?
tidb
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A MySQL compatible database engine written in pure Go
tidb has been around for a while, it is distributed, written in Go and Rust, and MySQL compatible. https://github.com/pingcap/tidb
Somewhat relatedly, StarRocks is also MySQL compatible, written in Java and C++, but it's tackling OLAP use-cases. https://github.com/StarRocks/starrocks
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Show HN: GitHub Organization Analytics
It's MySQL-Compatible database for scale and real-time analytics https://github.com/pingcap/tidb
- TiDB: An open-source distributed MySQL compatible database
- TiDB: Open-source, cloud-native, distributed, MySQL compatible database
- Embed hard-coded SQL into binaries for a cleaner look!
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Ask HN: Who is hiring? (January 2023)
PingCAP | https://www.pingcap.com | Database Engineer, Product Manager, Developer Advocate and more | Remote in California | Full-time
We work on a MySQL compatible distributed database called TiDB https://github.com/pingcap/tidb/ and key-value store called TiKV.
TiDB is written in Go and TiKV is written in Rust.
More roles and locations are available on https://www.pingcap.com/careers/
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Banco de dados puramente com go
Pesquise por CockroachDB ou TiDB
- MySQL-mimic - Python implementation of the MySQL server wire protocol.
- Apache Pegasus – A a distributed key-value storage system
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What is your experience with mixed workload (OLTP and OLAP) databases?
OLTP usually comes with high throughput of transactions, which means usually write(e.g., IUD - insert, update, delete) to read (e.g., select) ratio is above 4 or 5 or even higher. There are some good benchmarks to test OLTP workload like TPC-C (https://www.tpc.org/tpcc/), and some benchmarks to test OLAP workload like TPC-H (https://www.tpc.org/tpch/). For mixed or hybrid OLTP and OLAP (it's called HTAP, see this blog for some background https://en.pingcap.com/blog/the-beauty-of-htap-tidb-and-allo...), TPC-H was originally designed for this, however, it actually doesn't reveal the real world workload with several drawbacks. A newer research work from UC Berkeley proposed a HTAP benchmark called TAOBench (https://www.vldb.org/pvldb/vol15/p1965-cheng.pdf) which is pretty interesting and worthy to check.
For the HTAP systems, as mentioned in the above blog, there are quite a few industrial products, like Google just announced AlloyDB (https://cloud.google.com/alloydb), Snowflake's UniStore (https://www.snowflake.com/workloads/unistore/), and one of the most popular open source projects TiDB (https://github.com/pingcap/tidb) which have been deployed by many business applications.
Hopefully these may help a little bit :-)
What are some alternatives?
cockroach - CockroachDB - the open source, cloud-native distributed SQL database.
vitess - Vitess is a database clustering system for horizontal scaling of MySQL.
Hasura - Blazing fast, instant realtime GraphQL APIs on your DB with fine grained access control, also trigger webhooks on database events.
spicedb - Open Source, Google Zanzibar-inspired permissions database to enable fine-grained access control for customer applications
oceanbase - OceanBase is an enterprise distributed relational database with high availability, high performance, horizontal scalability, and compatibility with SQL standards.
TinyGo - Go compiler for small places. Microcontrollers, WebAssembly (WASM/WASI), and command-line tools. Based on LLVM.
InfluxDB - Scalable datastore for metrics, events, and real-time analytics
go-mysql - a powerful mysql toolset with Go
go-mysql-elasticsearch - Sync MySQL data into elasticsearch
go-raw-postgresql-builder - Create raw sql from structs without ORM