- Aerospike
- Akamas
- AlloyDB
- ApertureDB
- Arrow
- 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
- Iceberg
- InfluxDB
- kdb
- ksqlDB
- LeanStore
- LMDB
- MapD
- Materialize
- Milvus
- MonetDB
- Mooncake
- MySQL
- Neon
- Noria
- OceanBase
- Oracle
- OxQL
- Pinecone
- PlanetScale
- PostgresML
- PRQL
- QMDB
- QuestDB
- Redshift
- RisingWave
- Rockset
- rqlite
- Samza
- SingleStore
- SLOG
- Snowflake
- SpiceDB
- SplinterDB
- SQL Server
- SQLite
- Stardog
- Striim
- Swarm64
- Technical University of Munich
- TiDB
- TileDB
- Tokutek
- Umbra
- Vertica
- VoltDB
- Weaviate
- XTDB
- YugabyteDB
- AirFlow
- Alibaba
- Anna
- APOLLO
- 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
- Hudi
- Impala
- Jepsen
- Kinetica
- LanceDB
- Litestream
- Malloy
- MariaDB
- MemSQL
- Modin
- MongoDB
- MotherDuck
- Napa
- NoisePage
- NuoDB
- OpenDAL
- OtterTune
- ParadeDB
- Pinot
- Polaris
- PostgreSQL
- Qdrant
- QuasarDB
- RavenDB
- RelationalAI
- RocksDB
- RonDB
- SalesForce
- ScyllaDB
- sled
- Smooth
- Spice.ai
- Splice Machine
- SQL Anywhere
- SQLancer
- SQream
- StarRocks
- Summingbird
- Synnada
- TerminusDB
- TigerBeetle
- TimescaleDB
- Trino
- Velox
- Vitesse
- Vortex
- WiredTiger
- Yellowbrick
- Aerospike
- Alibaba
- ApertureDB
- Azure Cosmos DB
- BlazingDB
- Cassandra
- Citus
- Confluent
- CrateDB
- DataFusion
- dbt
- Dolt
- DSQL
- EdgeDB
- eXtremeDB
- FeatureBase
- Firebolt
- FoundationDB
- GlareDB
- Greenplum
- Heron
- Impala
- kdb
- LanceDB
- LMDB
- MariaDB
- Milvus
- MongoDB
- MySQL
- NoisePage
- OceanBase
- OtterTune
- Pinecone
- Polaris
- PRQL
- QuasarDB
- Redshift
- RocksDB
- rqlite
- ScyllaDB
- SLOG
- Spice.ai
- SplinterDB
- SQLancer
- Stardog
- Summingbird
- Technical University of Munich
- TigerBeetle
- Tokutek
- Velox
- VoltDB
- WiredTiger
- YugabyteDB
- AirFlow
- AlloyDB
- APOLLO
- Berkeley DB
- Bodo
- Chaos Mesh
- ClickHouse
- Convex
- CrocodileDB
- Datometry
- Debezium
- Dremio
- DuckDB
- EraDB
- FASTER
- Featureform
- Fluree
- Gaia
- Google Spanner
- GreptimeDB
- Hudi
- InfluxDB
- Kinetica
- LeanStore
- Malloy
- Materialize
- Modin
- Mooncake
- Napa
- Noria
- OpenDAL
- OxQL
- Pinot
- PostgresML
- Qdrant
- QuestDB
- RelationalAI
- Rockset
- SalesForce
- SingleStore
- Smooth
- SpiceDB
- SQL Anywhere
- SQLite
- StarRocks
- Swarm64
- TerminusDB
- TileDB
- Trino
- Vertica
- Vortex
- XTDB
- Akamas
- Anna
- Arrow
- BigQuery
- Brytlyt
- Chroma
- CockroachDB
- CouchDB
- Databricks
- Datomic
- Delta Lake
- Druid
- DVMS
- Exon
- Fauna
- Feldera
- Fluss
- Gel
- GoogleSQL
- HarperDB
- Iceberg
- Jepsen
- ksqlDB
- Litestream
- MapD
- MemSQL
- MonetDB
- MotherDuck
- Neon
- NuoDB
- Oracle
- ParadeDB
- PlanetScale
- PostgreSQL
- QMDB
- RavenDB
- RisingWave
- RonDB
- Samza
- sled
- Snowflake
- Splice Machine
- SQL Server
- SQream
- Striim
- Synnada
- TiDB
- TimescaleDB
- Umbra
- Vitesse
- Weaviate
- Yellowbrick
- Aerospike
- AlloyDB
- Arrow
- BlazingDB
- Chaos Mesh
- CockroachDB
- CrateDB
- Datometry
- Delta Lake
- DSQL
- EraDB
- Fauna
- Firebolt
- Gaia
- GoogleSQL
- Heron
- InfluxDB
- ksqlDB
- LMDB
- Materialize
- MonetDB
- MySQL
- Noria
- Oracle
- Pinecone
- PostgresML
- QMDB
- Redshift
- Rockset
- Samza
- SLOG
- SpiceDB
- SQL Server
- Stardog
- Swarm64
- TiDB
- Tokutek
- Vertica
- Weaviate
- YugabyteDB
- AirFlow
- Anna
- Azure Cosmos DB
- Bodo
- Chroma
- Confluent
- CrocodileDB
- Datomic
- Dolt
- DuckDB
- Exon
- FeatureBase
- Fluree
- Gel
- Greenplum
- Hudi
- Jepsen
- LanceDB
- Malloy
- MemSQL
- MongoDB
- Napa
- NuoDB
- OtterTune
- Pinot
- PostgreSQL
- QuasarDB
- RelationalAI
- RonDB
- ScyllaDB
- Smooth
- Splice Machine
- SQLancer
- StarRocks
- Synnada
- TigerBeetle
- Trino
- Vitesse
- WiredTiger
- Akamas
- ApertureDB
- Berkeley DB
- Brytlyt
- Citus
- Convex
- Databricks
- dbt
- Dremio
- DVMS
- eXtremeDB
- Featureform
- Fluss
- GlareDB
- GreptimeDB
- Iceberg
- kdb
- LeanStore
- MapD
- Milvus
- Mooncake
- Neon
- OceanBase
- OxQL
- PlanetScale
- PRQL
- QuestDB
- RisingWave
- rqlite
- SingleStore
- Snowflake
- SplinterDB
- SQLite
- Striim
- Technical University of Munich
- TileDB
- Umbra
- VoltDB
- XTDB
- Alibaba
- APOLLO
- BigQuery
- Cassandra
- ClickHouse
- CouchDB
- DataFusion
- Debezium
- Druid
- EdgeDB
- FASTER
- Feldera
- FoundationDB
- Google Spanner
- HarperDB
- Impala
- Kinetica
- Litestream
- MariaDB
- Modin
- MotherDuck
- NoisePage
- OpenDAL
- ParadeDB
- Polaris
- Qdrant
- RavenDB
- RocksDB
- SalesForce
- sled
- Spice.ai
- SQL Anywhere
- SQream
- Summingbird
- TerminusDB
- TimescaleDB
- Velox
- Vortex
- Yellowbrick
Sep 28
2015
DB Seminar [Fall 2015]: Gene Davis (Splice Machine)
- Speaker:
- Gene Davis
- System:
- Splice Machine
In this talk, Gene will discuss Splice Machine, a full RDBMS built on top of Hadoop. He will describe what makes Splice Machine work and what their team is working on now to make it even more performant on mixed database workloads. Read More
Sep 17
2015
SQLite, A Database for the Edge of the Network (Richard Hipp)
- Speaker:
- D. Richard Hipp
- System:
- SQLite
- Video:
- YouTube
SQLite is a full-featured embedded SQL database engine, and the world's most widely deployed and used database engine. The design and implementation of SQLite is different from most other RDBMSes, since SQLite strives to solve a different problem. This talk describes the problem that SQLite solves and overviews the design choices and algorithms that SQLite uses in its unique role.... Read More
Sep 15
2015
SCS Distinguished Lecture — Michael Stonebraker (MIT)
- Speaker:
- Michael Stonebraker
This Turing Award talk intermixes a bicycle ride across America during the summer of 1988 with the design, construction and commercialization of Postgres during the late 80’s and early ‘90’s. Striking parallels are observed, leading to a discussion of what it takes to build a new DBMS. Also, indicated are the roles that perseverance and serendipity played in both endeavors. Read More
Sep 10
2015
A Technical Introduction to WiredTiger (Keith Bostic)
- Speaker:
- Keith Bostic
- System:
- WiredTiger
- Video:
- YouTube
WiredTiger is a fully ACID, new generation embeddable data store, architected to provide transactional scalability and superior throughput on modern hardware. WiredTiger is deployed behind Amazon Web Services, and is the principal storage engine for MongoDB's cross-platform document-oriented database product. In this talk, Keith Bostic, a senior engineer at MongoDB and a co-architect of WiredTiger, will describe the original design... Read More
Sep 10
2015
Yasuhiro Fujiwara (NTT)
- Speaker:
- Yasuhiro Fujiwara
The abundance of data available these days demands techniques to process and manage data in an effective manner. Clusters are extracted groups of data object. Finding and using clusters are popular techniques for unsupervised discovery of hidden structures from complex datasets which are revealed by a large size of data. Since clusters are used in a variety of application domains,... Read More
Aug 5
2015
Takashi Katoh (Fujitsu Laboratories)
- Speaker:
- Takashi Katoh
Shoes platform analyses sensor signals and gives meaning to them. You will easily get user's actions and health conditions without requiring troublesome calculation by the mechanism. Our prototype shows the actions such as "walking", "standing" and so on with the time and the place. Read More
May 11
2015
[PDL Visit Day 2015] Tirthankar Lahiri (Oracle)
- Speaker:
- Tirthankar Lahiri
- System:
- Oracle
The Oracle Database In-Memory Option allows Oracle to function as the industry-first dual-format in-memory database. Row formats are ideal for OLTP workloads which typically use indexes to limit their data access to a small set of rows, while column formats are better suited for Analytic operations which typically examine a small number of columns from a large number of rows.... Read More
May 11
2015
[PDL Visit Day 2015] Roger MacNicol (Oracle)
- Speaker:
- Roger MacNicol
- System:
- Oracle
With the end of the civil war between Hadoop and traditional database, customers have data in both: using the most appropriate tool for whichever kind of data it is. The natural result of this is a need for a unified query infrastructure to provide a simple interface to request reports that may draw on data in, for example, Oracle, MongoDB,... Read More
May 11
2015
[PDL Visit Day 2015] Hideaki Kimura (HP Labs)
- Speaker:
- Hideaki Kimura
The Machine is HP's next-generation server with intriguing and disruptively different designs. This talk provides a high-level summary of Hewlett-Packard's recent efforts to change the history of computers and briefly introduces a few research projects in our group, including the speaker's own project to develop a new DBMS for 1,000 cores and NVRAM. Read More
May 7
2015
Sudipto Das (Microsoft Research)
- Speaker:
- Sudipto Das
Multi-tenancy and resource sharing are essential to make a Relational Database-as-a-Service (DaaS), such as Azure SQL Database, cost-effective. However, one major consequence of resource sharing is that the performance of one tenant's workload can be significantly affected by the resource demands of co-located tenants. In the SQLVM project at Microsoft Research, our approach to performance isolation in a DaaS is... Read More