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- Arrow
- BigQuery
- Cassandra
- ClickHouse
- CouchDB
- DataFusion
- Debezium
- Druid
- EdgeDB
- FASTER
- Feldera
- FoundationDB
- Google Spanner
- HarperDB
- Iceberg
- kdb
- LeanStore
- MapD
- Milvus
- Mooncake
- Napa
- NuoDB
- OtterTune
- Pinecone
- Polaris
- Qdrant
- RavenDB
- RocksDB
- SalesForce
- Sirius
- Snowflake
- Splice Machine
- SQLancer
- StarRocks
- Synnada
- TigerBeetle
- TonicDB
- Umbra
- Vitesse
- WiredTiger
- AirFlow
- Anna
- Aurora DSQL
- BlazingDB
- Chaos Mesh
- CockroachDB
- CrateDB
- Datometry
- Delta Lake
- DSQL
- EraDB
- Fauna
- Firebolt
- Gaia
- GoogleSQL
- Heron
- Impala
- Kinetica
- Litestream
- MariaDB
- Modin
- MotherDuck
- Neon
- OceanBase
- Oxla
- Pinot
- PostgresML
- QMDB
- Redshift
- Rockset
- Samza
- sled
- SpacetimeDB
- SplinterDB
- SQLite
- Striim
- Technical University of Munich
- TileDB
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- Velox
- VoltDB
- XTDB
- Akamas
- ApertureDB
- Azure Cosmos DB
- Bodo
- Chroma
- Confluent
- CrocodileDB
- Datomic
- Dolt
- DuckDB
- Exon
- FeatureBase
- Fluree
- Gel
- Greenplum
- HorizonDB
- InfluxDB
- ksqlDB
- LMDB
- Materialize
- MonetDB
- Multigres
- NoisePage
- OpenDAL
- OxQL
- Pixeltable
- PostgreSQL
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- RonDB
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- SLOG
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- SQL Anywhere
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- Alibaba
- APOLLO
- Berkeley DB
- Brytlyt
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- dbt
- Dremio
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- Featureform
- Fluss
- GlareDB
- GreptimeDB
- Hudi
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- Malloy
- MemSQL
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Feb 9
2026
04:30pm EST
Feb 9 2026
Aurora DSQL: Serverless, Scalable, Global OLTP (Marc Brooker)
- Speaker:
- Marc Brooker
- System:
- Aurora DSQL
Amazon Aurora DSQL is a distributed SQL database, designed to make it easier to build reliable, scalable, and resilient applications in the cloud, from small prototypes to massive global applications. In this talk, we'll dive into the architecture of Aurora DSQL, looking at how we handle reads, writes, and commits, and talking through the design decisions we made along the... Read More
Feb 16
2026
04:30pm EST
Feb 16 2026
TopK: Billion-Scale Hybrid Retrieval from the Ground Up (Marek Galovic)
- Speaker:
- Marek Galovic
- System:
- TopK
TopK is a search engine built from the ground up for unstructured retrieval. It combines dense/sparse/multi-vector search, lexical search, powerful filtering, and customizable scoring capabilities in a single, cloud-native system that scales to billions of documents with high ingest throughput and O(10ms) p99 query latencies. In this talk, I'll focus on how TopK is designed on a high-level, including our... Read More
Feb 23
2026
04:30pm EST
Mar 9
2026
04:30pm EST
Mar 16
2026
04:30pm EST
Mar 23
2026
04:30pm EST
Mar 30
2026
04:30pm EST
Apr 6
2026
04:30pm EST
Apr 13
2026
04:30pm EST
Apr 20
2026
04:30pm EST
["https://db.cs.cmu.edu/events/","https://db.cs.cmu.edu/events/page/2/"]