- Aerospike
- Akamas
- AlloyDB
- ApertureDB
- Arrow
- Azure Cosmos DB
- BigQuery
- Bodo
- Cassandra
- Chroma
- ClickHouse
- Confluent
- CouchDB
- CrocodileDB
- DataFusion
- Datomic
- Debezium
- Dolt
- Druid
- DuckDB
- EdgeDB
- Exon
- FASTER
- FeatureBase
- Feldera
- Fluree
- FoundationDB
- Gel
- Google Spanner
- Greenplum
- HarperDB
- HorizonDB
- Iceberg
- InfluxDB
- kdb
- ksqlDB
- LeanStore
- LMDB
- MapD
- Materialize
- Milvus
- MonetDB
- Mooncake
- Multigres
- Napa
- NoisePage
- NuoDB
- OpenDAL
- OtterTune
- OxQL
- Pinecone
- Pixeltable
- Polaris
- PostgreSQL
- Qdrant
- QuasarDB
- RavenDB
- RelationalAI
- RocksDB
- RonDB
- SalesForce
- ScyllaDB
- Sirius
- SLOG
- Snowflake
- Spice.ai
- Splice Machine
- SQL Anywhere
- SQLancer
- SQream
- StarRocks
- Summingbird
- Synnada
- TerminusDB
- TigerBeetle
- TimescaleDB
- TonicDB
- Trino
- Umbra
- Vertica
- Vitesse
- Vortex
- WiredTiger
- Yellowbrick
- AirFlow
- Alibaba
- Anna
- APOLLO
- Aurora DSQL
- Berkeley DB
- BlazingDB
- Brytlyt
- Chaos Mesh
- Citus
- CockroachDB
- Convex
- CrateDB
- Databricks
- Datometry
- dbt
- Delta Lake
- Dremio
- DSQL
- DVMS
- EraDB
- eXtremeDB
- Fauna
- Featureform
- Firebolt
- Fluss
- Gaia
- GlareDB
- GoogleSQL
- GreptimeDB
- Heron
- Hudi
- Impala
- Jepsen
- Kinetica
- LanceDB
- Litestream
- Malloy
- MariaDB
- MemSQL
- Modin
- MongoDB
- MotherDuck
- MySQL
- Neon
- Noria
- OceanBase
- Oracle
- Oxla
- ParadeDB
- Pinot
- PlanetScale
- PostgresML
- PRQL
- QMDB
- QuestDB
- Redshift
- RisingWave
- Rockset
- rqlite
- Samza
- SingleStore
- sled
- Smooth
- SpacetimeDB
- SpiceDB
- SplinterDB
- SQL Server
- SQLite
- Stardog
- Striim
- Swarm64
- Technical University of Munich
- TiDB
- TileDB
- Tokutek
- TopK
- turbopuffer
- Velox
- VillageSQL
- VoltDB
- Weaviate
- XTDB
- YugabyteDB
- Aerospike
- Alibaba
- ApertureDB
- Aurora DSQL
- BigQuery
- Brytlyt
- Chroma
- CockroachDB
- CouchDB
- Databricks
- Datomic
- Delta Lake
- Druid
- DVMS
- Exon
- Fauna
- Feldera
- Fluss
- Gel
- GoogleSQL
- HarperDB
- Hudi
- InfluxDB
- Kinetica
- LeanStore
- Malloy
- Materialize
- Modin
- Mooncake
- MySQL
- NoisePage
- OceanBase
- OtterTune
- ParadeDB
- Pixeltable
- PostgresML
- Qdrant
- QuestDB
- RelationalAI
- Rockset
- SalesForce
- SingleStore
- SLOG
- SpacetimeDB
- Splice Machine
- SQL Server
- SQream
- Striim
- Synnada
- TiDB
- TimescaleDB
- TopK
- Umbra
- VillageSQL
- Vortex
- XTDB
- AirFlow
- AlloyDB
- APOLLO
- Azure Cosmos DB
- BlazingDB
- Cassandra
- Citus
- Confluent
- CrateDB
- DataFusion
- dbt
- Dolt
- DSQL
- EdgeDB
- eXtremeDB
- FeatureBase
- Firebolt
- FoundationDB
- GlareDB
- Greenplum
- Heron
- Iceberg
- Jepsen
- ksqlDB
- Litestream
- MapD
- MemSQL
- MonetDB
- MotherDuck
- Napa
- Noria
- OpenDAL
- Oxla
- Pinecone
- PlanetScale
- PostgreSQL
- QMDB
- RavenDB
- RisingWave
- RonDB
- Samza
- Sirius
- Smooth
- Spice.ai
- SplinterDB
- SQLancer
- Stardog
- Summingbird
- Technical University of Munich
- TigerBeetle
- Tokutek
- Trino
- Velox
- Vitesse
- Weaviate
- Yellowbrick
- Akamas
- Anna
- Arrow
- Berkeley DB
- Bodo
- Chaos Mesh
- ClickHouse
- Convex
- CrocodileDB
- Datometry
- Debezium
- Dremio
- DuckDB
- EraDB
- FASTER
- Featureform
- Fluree
- Gaia
- Google Spanner
- GreptimeDB
- HorizonDB
- Impala
- kdb
- LanceDB
- LMDB
- MariaDB
- Milvus
- MongoDB
- Multigres
- Neon
- NuoDB
- Oracle
- OxQL
- Pinot
- Polaris
- PRQL
- QuasarDB
- Redshift
- RocksDB
- rqlite
- ScyllaDB
- sled
- Snowflake
- SpiceDB
- SQL Anywhere
- SQLite
- StarRocks
- Swarm64
- TerminusDB
- TileDB
- TonicDB
- turbopuffer
- Vertica
- VoltDB
- WiredTiger
- YugabyteDB
- Aerospike
- AlloyDB
- 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
- TopK
- 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
- QuasarDB
- RelationalAI
- RonDB
- ScyllaDB
- SLOG
- Spice.ai
- SQL Anywhere
- SQream
- Summingbird
- TerminusDB
- TimescaleDB
- Trino
- Vertica
- Vortex
- Yellowbrick
- Alibaba
- APOLLO
- Berkeley DB
- Brytlyt
- Citus
- Convex
- Databricks
- dbt
- Dremio
- DVMS
- eXtremeDB
- Featureform
- Fluss
- GlareDB
- GreptimeDB
- Hudi
- Jepsen
- LanceDB
- Malloy
- MemSQL
- MongoDB
- MySQL
- Noria
- Oracle
- ParadeDB
- PlanetScale
- PRQL
- QuestDB
- RisingWave
- rqlite
- SingleStore
- Smooth
- SpiceDB
- SQL Server
- Stardog
- Swarm64
- TiDB
- Tokutek
- turbopuffer
- VillageSQL
- Weaviate
- YugabyteDB
Feb 29
2024
[Spring 2024] Embedding Database Logic in the Operating System Is Finally a Good Idea (Matt Butrovich)
- Speaker:
- Matt Butrovich
The rise in computer storage and network performance means that disk I/O and network communication are often no longer bottlenecks in database management systems (DBMSs). Instead, the overheads associated with operating system (OS) services (e.g., system calls, thread scheduling, and data movement from kernel-space) limit query processing responsiveness. To avoid these overheads, user-space applications prioritizing performance over simplicity can elide... Read More
Jan 5
2024
[Winter 2023] Survey and Evaluation of Database Management System Extensibility (Abi Kim)
- Speaker:
- Abi Kim
Database management system (DBMS) extensibility is a feature which enables users to extend the DBMS with user software. However, the DBMS extensibility environment is fraught with perils, and DBMS developers have to resort to unspecified methods of developing extensions, including copying core DBMS source code and casing between different versions of the DBMS. Extending a DBMS to support new functionality... Read More
Nov 27
2023
[ML⇄DB 2023] Chroma: Vector Database Straight From the Tenderloin! (Jeff Huber)
- Speaker:
- Jeff Huber
- System:
- Chroma
- Video:
- YouTube
This talk is part of the ML⇄DB Seminar Series. Zoom Link: https://cmu.zoom.us/j/91461275681 (Passcode 177332) Read More
Nov 20
2023
[ML⇄DB 2023] pgvector: Stylish Hierarchical Navigable Small World Indexes! (Jonathan Katz)
- Speaker:
- Jonathan Katz
- System:
- PostgreSQL
- Video:
- YouTube
This talk is part of the ML⇄DB Seminar Series. Zoom Link: https://cmu.zoom.us/j/91461275681 (Passcode 177332) Read More
Nov 13
2023
[ML⇄DB 2023] Alibaba: Domain Knowledge Augmented AI for Databases (Jian Tan)
- Speaker:
- Jian Tan
- System:
- Alibaba
- Video:
- YouTube
One goal of applying AI for databases is to make the systems easier to use, e.g., natural language to SQL conversion (NL2SQL), and more efficient to operate, e.g., DevOps root cause analysis (RCA). Although scaling up general models and datasets with less hand engineering have achieved unprecedented successes in various applications, we argue that utilizing domain knowledge to augment AI... Read More
Nov 6
2023
Oct 30
2023
[ML⇄DB 2023] Akamas: The Database Tuner of the Future! (Stefano Cereda)
- Speaker:
- Stefano Cereda
- System:
- Akamas
- Video:
- YouTube
This talk is part of the ML⇄DB Seminar Series. Zoom Link: https://cmu.zoom.us/j/91461275681 (Passcode 177332) Read More
Oct 23
2023
Oct 16
2023
[ML⇄DB 2023] FeatureBase: Analytics & Vector Engine Made for AI! (Pat O’Keeffe)
- Speaker:
- Pat O'Keeffe
- System:
- FeatureBase
- Video:
- YouTube
This talk is part of the ML⇄DB Seminar Series. Zoom Link: https://cmu.zoom.us/j/91461275681 (Passcode 177332) Read More
Oct 9
2023
[ML⇄DB 2023] Featureform: Yeah, Our Database Can Do That! (Simba Khadder)
- Speaker:
- Simba Khadder
- System:
- Featureform
- Video:
- YouTube
This talk is part of the ML⇄DB Seminar Series. Zoom Link: https://cmu.zoom.us/j/91461275681 (Passcode 177332) Read More